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Best Text Analysis Software - Page 5

Blue Bowen
BB
Researched and written by Blue Bowen

Text analysis software, also called text analytics or text mining software, helps users gain insights from both structured and unstructured text data using natural language processing (NLP). Such insights include sentiment analysis, key phrases, language, themes and patterns, and entities, among others. These solutions leverage NLP and machine learning to pull out different insights and provide visual representations of the data for easier interpretation.

Text analysis tools can consume text data from a variety of sources, including emails, phone transcripts, surveys, customer reviews, and other documents. By importing text data from these different sources, businesses are better equipped to understand and analyze customer or employee sentiment, intelligently classify documents, and improve written content. Text analysis software may be used in conjunction with other analytics tools, including big data analytics and business intelligence platforms.

To qualify for the Text Analysis category, a product must:

Import text data from a variety of different data sources
Use natural language processing to extract insights from the text, including key phrases, language, sentiment, and other patterns
Provide visualizations for text data
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187 Listings in Text Analysis Available
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    MeaningCloud provides software and services for automatic extraction of insights from unstructured information sources.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Small-Business
    • 25% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • MeaningCloud features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1998
    HQ Location
    New York, US
    Twitter
    @MeaningCloud
    847 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

MeaningCloud provides software and services for automatic extraction of insights from unstructured information sources.

Users
No information available
Industries
No information available
Market Segment
  • 75% Small-Business
  • 25% Mid-Market
MeaningCloud features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
1998
HQ Location
New York, US
Twitter
@MeaningCloud
847 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    QuData's core areas of competency are Conversational AI (speech recognition, dialogue systems, voice assistants); natural language understanding; image analysis (image classification and segmentation,

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Mid-Market
    • 25% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • QuData features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    6.7
    Custom Extension
    Average: 8.0
    8.3
    Compositionality
    Average: 8.1
    8.9
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Qudata
    Year Founded
    2018
    HQ Location
    Dnipro, UA
    LinkedIn® Page
    www.linkedin.com
    11 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

QuData's core areas of competency are Conversational AI (speech recognition, dialogue systems, voice assistants); natural language understanding; image analysis (image classification and segmentation,

Users
No information available
Industries
No information available
Market Segment
  • 75% Mid-Market
  • 25% Small-Business
QuData features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
6.7
Custom Extension
Average: 8.0
8.3
Compositionality
Average: 8.1
8.9
Pre-Built Parameterization
Average: 8.3
Seller Details
Seller
Qudata
Year Founded
2018
HQ Location
Dnipro, UA
LinkedIn® Page
www.linkedin.com
11 employees on LinkedIn®

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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Analyze text data from the web, comment fields, books and other text sources.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Enterprise
    • 50% Small-Business
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • SAS Text Miner Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Multilingual Support
    2
    Big Data
    1
    Categorization
    1
    Cost Efficiency
    1
    Data Visualization
    1
    Cons
    Difficult Learning
    1
    Lacking Features
    1
    Poor Customer Support
    1
    Sentiment Analysis
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • SAS Text Miner features and usability ratings that predict user satisfaction
    8.3
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    Custom Extension
    Average: 8.0
    0.0
    Compositionality
    Average: 8.1
    7.5
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1976
    HQ Location
    Cary, NC
    Twitter
    @SASsoftware
    61,236 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    18,116 employees on LinkedIn®
    Phone
    1-800-727-0025
Product Description
How are these determined?Information
This description is provided by the seller.

Analyze text data from the web, comment fields, books and other text sources.

Users
No information available
Industries
No information available
Market Segment
  • 50% Enterprise
  • 50% Small-Business
SAS Text Miner Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Multilingual Support
2
Big Data
1
Categorization
1
Cost Efficiency
1
Data Visualization
1
Cons
Difficult Learning
1
Lacking Features
1
Poor Customer Support
1
Sentiment Analysis
1
SAS Text Miner features and usability ratings that predict user satisfaction
8.3
Has the product been a good partner in doing business?
Average: 9.0
0.0
Custom Extension
Average: 8.0
0.0
Compositionality
Average: 8.1
7.5
Pre-Built Parameterization
Average: 8.3
Seller Details
Year Founded
1976
HQ Location
Cary, NC
Twitter
@SASsoftware
61,236 Twitter followers
LinkedIn® Page
www.linkedin.com
18,116 employees on LinkedIn®
Phone
1-800-727-0025
(88)4.4 out of 5
View top Consulting Services for Verint Speech and Text Analytics
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  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Verint Speech and Text Analytics is an enterprise-grade solution can automatically discover and analyze words, phrases, categories, and themes that may be affecting customer experience. This rich sour

    Users
    No information available
    Industries
    • Insurance
    • Banking
    Market Segment
    • 68% Enterprise
    • 27% Mid-Market
    User Sentiment
    How are these determined?Information
    These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
    • Verint Speech Analytics is a solution designed to capture and analyze customer interactions across voice channels, converting unstructured conversations into actionable insights for organizations.
    • Reviewers appreciate the platform's advanced features such as emotion detection, sentiment analysis, and keyword spotting, which allow businesses to quickly identify trends, risks, and opportunities, and its integration with contact center operations, providing managers with dashboards and reports that support data-driven decision-making.
    • Users mentioned issues such as the program's inability to identify sarcasm, difficulty in getting started due to lack of intuitiveness, issues with integration with new phone systems, transcription concerns, lack of custom settings, incorrect language detection, irrelevant categories, limited licenses, challenging access to other departments, and limited functionality of number of categories.
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Verint Speech and Text Analytics Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    16
    Accuracy
    13
    Call Recording
    10
    Analytics
    7
    Improvement
    7
    Cons
    Accuracy Issues
    12
    Inaccuracy
    12
    Accent Recognition
    5
    Integration Issues
    5
    Missing Features
    5
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Verint Speech and Text Analytics features and usability ratings that predict user satisfaction
    8.7
    Has the product been a good partner in doing business?
    Average: 9.0
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Verint
    Year Founded
    1994
    HQ Location
    Melville, New York
    Twitter
    @Verint
    7,756 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    4,220 employees on LinkedIn®
    Ownership
    NASDAQ: VRNT
Product Description
How are these determined?Information
This description is provided by the seller.

Verint Speech and Text Analytics is an enterprise-grade solution can automatically discover and analyze words, phrases, categories, and themes that may be affecting customer experience. This rich sour

Users
No information available
Industries
  • Insurance
  • Banking
Market Segment
  • 68% Enterprise
  • 27% Mid-Market
User Sentiment
How are these determined?Information
These insights, currently in beta, are compiled from user reviews and grouped to display a high-level overview of the software.
  • Verint Speech Analytics is a solution designed to capture and analyze customer interactions across voice channels, converting unstructured conversations into actionable insights for organizations.
  • Reviewers appreciate the platform's advanced features such as emotion detection, sentiment analysis, and keyword spotting, which allow businesses to quickly identify trends, risks, and opportunities, and its integration with contact center operations, providing managers with dashboards and reports that support data-driven decision-making.
  • Users mentioned issues such as the program's inability to identify sarcasm, difficulty in getting started due to lack of intuitiveness, issues with integration with new phone systems, transcription concerns, lack of custom settings, incorrect language detection, irrelevant categories, limited licenses, challenging access to other departments, and limited functionality of number of categories.
Verint Speech and Text Analytics Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
16
Accuracy
13
Call Recording
10
Analytics
7
Improvement
7
Cons
Accuracy Issues
12
Inaccuracy
12
Accent Recognition
5
Integration Issues
5
Missing Features
5
Verint Speech and Text Analytics features and usability ratings that predict user satisfaction
8.7
Has the product been a good partner in doing business?
Average: 9.0
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Verint
Year Founded
1994
HQ Location
Melville, New York
Twitter
@Verint
7,756 Twitter followers
LinkedIn® Page
www.linkedin.com
4,220 employees on LinkedIn®
Ownership
NASDAQ: VRNT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    BytesView is an machine learning and NLP-based paid text analysis tool that can help you analyze and extract actionable insights from unstructured text. BytesView also offers various text analysis mod

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Bytesview features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2019
    HQ Location
    Noida, IN
    LinkedIn® Page
    www.linkedin.com
    39 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

BytesView is an machine learning and NLP-based paid text analysis tool that can help you analyze and extract actionable insights from unstructured text. BytesView also offers various text analysis mod

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
Bytesview features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Year Founded
2019
HQ Location
Noida, IN
LinkedIn® Page
www.linkedin.com
39 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Cotera is the fastest way to build an AI agent. With Cotera, top teams (like Bilt Rewards, Coterie, Peloton, and Skims) are building AI agents and workflows, automating their complex, high-frequen

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 100% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Cotera OS Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Customer Insights
    3
    Automation
    2
    Customer Support
    2
    Data Management
    2
    Easy Setup
    2
    Cons
    Data Management
    1
    Inadequate AI Capabilities
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Cotera OS features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    10.0
    Custom Extension
    Average: 8.0
    10.0
    Compositionality
    Average: 8.1
    10.0
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Cotera
    Year Founded
    2022
    HQ Location
    New York, US
    LinkedIn® Page
    www.linkedin.com
    17 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Cotera is the fastest way to build an AI agent. With Cotera, top teams (like Bilt Rewards, Coterie, Peloton, and Skims) are building AI agents and workflows, automating their complex, high-frequen

Users
No information available
Industries
No information available
Market Segment
  • 100% Mid-Market
Cotera OS Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Customer Insights
3
Automation
2
Customer Support
2
Data Management
2
Easy Setup
2
Cons
Data Management
1
Inadequate AI Capabilities
1
Cotera OS features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
10.0
Custom Extension
Average: 8.0
10.0
Compositionality
Average: 8.1
10.0
Pre-Built Parameterization
Average: 8.3
Seller Details
Seller
Cotera
Year Founded
2022
HQ Location
New York, US
LinkedIn® Page
www.linkedin.com
17 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    DataWalk is an enterprise Graph & AI platform that uncovers complex relationships and knowledge within raw, dispersed data. It transforms this into actionable insights for decision-making by combi

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • DataWalk features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    8.9
    Custom Extension
    Average: 8.0
    8.9
    Compositionality
    Average: 8.1
    8.9
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    DataWalk
    HQ Location
    Redwood City, CA
    Twitter
    @DataWalk
    727 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    96 employees on LinkedIn®
    Ownership
    DAT (WSE)
Product Description
How are these determined?Information
This description is provided by the seller.

DataWalk is an enterprise Graph & AI platform that uncovers complex relationships and knowledge within raw, dispersed data. It transforms this into actionable insights for decision-making by combi

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
DataWalk features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
8.9
Custom Extension
Average: 8.0
8.9
Compositionality
Average: 8.1
8.9
Pre-Built Parameterization
Average: 8.3
Seller Details
Seller
DataWalk
HQ Location
Redwood City, CA
Twitter
@DataWalk
727 Twitter followers
LinkedIn® Page
www.linkedin.com
96 employees on LinkedIn®
Ownership
DAT (WSE)
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    The EdgeTier Conversational Intelligence and Support Platform helps Customer Support teams uncover the missed insights in their support and survey messages, react faster to emerging customer issues, a

    Users
    No information available
    Industries
    • Gambling & Casinos
    Market Segment
    • 50% Enterprise
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • EdgeTier Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    7
    Customer Support
    5
    Insights Analysis
    5
    Collaboration
    3
    Features
    3
    Cons
    Lacking Features
    2
    Limitations
    2
    Slow Performance
    2
    Accuracy Issues
    1
    Complex Customization
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • EdgeTier features and usability ratings that predict user satisfaction
    9.3
    Has the product been a good partner in doing business?
    Average: 9.0
    7.5
    Custom Extension
    Average: 8.0
    10.0
    Compositionality
    Average: 8.1
    9.2
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Edge Tier
    Year Founded
    2015
    HQ Location
    Dublin 2, IE
    LinkedIn® Page
    www.linkedin.com
    59 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

The EdgeTier Conversational Intelligence and Support Platform helps Customer Support teams uncover the missed insights in their support and survey messages, react faster to emerging customer issues, a

Users
No information available
Industries
  • Gambling & Casinos
Market Segment
  • 50% Enterprise
  • 33% Mid-Market
EdgeTier Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
7
Customer Support
5
Insights Analysis
5
Collaboration
3
Features
3
Cons
Lacking Features
2
Limitations
2
Slow Performance
2
Accuracy Issues
1
Complex Customization
1
EdgeTier features and usability ratings that predict user satisfaction
9.3
Has the product been a good partner in doing business?
Average: 9.0
7.5
Custom Extension
Average: 8.0
10.0
Compositionality
Average: 8.1
9.2
Pre-Built Parameterization
Average: 8.3
Seller Details
Seller
Edge Tier
Year Founded
2015
HQ Location
Dublin 2, IE
LinkedIn® Page
www.linkedin.com
59 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Fractal Analytics offers predictive analytics and scoring Solutions for financial services, consumer products, retail and telecom sectors.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Mid-Market
    • 25% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • fractal features and usability ratings that predict user satisfaction
    10.0
    Has the product been a good partner in doing business?
    Average: 9.0
    10.0
    Custom Extension
    Average: 8.0
    10.0
    Compositionality
    Average: 8.1
    8.3
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2000
    HQ Location
    New York, US
    Twitter
    @fractalites
    LinkedIn® Page
    www.linkedin.com
    6,431 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Fractal Analytics offers predictive analytics and scoring Solutions for financial services, consumer products, retail and telecom sectors.

Users
No information available
Industries
No information available
Market Segment
  • 75% Mid-Market
  • 25% Enterprise
fractal features and usability ratings that predict user satisfaction
10.0
Has the product been a good partner in doing business?
Average: 9.0
10.0
Custom Extension
Average: 8.0
10.0
Compositionality
Average: 8.1
8.3
Pre-Built Parameterization
Average: 8.3
Seller Details
Year Founded
2000
HQ Location
New York, US
Twitter
@fractalites
LinkedIn® Page
www.linkedin.com
6,431 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Graze.ai's B2B database uses Large Language Model classification to uncover hard-to-find data for sales and marketing teams. Find data like: Companies working with your competitors Fintech CMOs e

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 50% Small-Business
    • 38% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Graze.ai Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Collaboration
    4
    Accuracy
    3
    Analysis Accuracy
    2
    Automation
    2
    Data Accuracy
    2
    Cons
    Cluttered Layout
    1
    Data Management
    1
    Insufficient Documentation
    1
    Integration Issues
    1
    Outdated Data
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Graze.ai features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Graze.ai
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Graze.ai's B2B database uses Large Language Model classification to uncover hard-to-find data for sales and marketing teams. Find data like: Companies working with your competitors Fintech CMOs e

Users
No information available
Industries
No information available
Market Segment
  • 50% Small-Business
  • 38% Enterprise
Graze.ai Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Collaboration
4
Accuracy
3
Analysis Accuracy
2
Automation
2
Data Accuracy
2
Cons
Cluttered Layout
1
Data Management
1
Insufficient Documentation
1
Integration Issues
1
Outdated Data
1
Graze.ai features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
0.0
No information available
Seller Details
Seller
Graze.ai
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    iManage AI Enrichment is an advanced solution designed to automate document classification and data extraction, establishing a robust foundation for AI-driven knowledge management. By leveraging over

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Mid-Market
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • iManage Enrichment features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.9
    Custom Extension
    Average: 8.0
    9.4
    Compositionality
    Average: 8.1
    8.9
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    iManage
    Year Founded
    2015
    HQ Location
    Chicago, Illinois
    Twitter
    @imanageinc
    2,747 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    1,224 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

iManage AI Enrichment is an advanced solution designed to automate document classification and data extraction, establishing a robust foundation for AI-driven knowledge management. By leveraging over

Users
No information available
Industries
No information available
Market Segment
  • 67% Mid-Market
  • 33% Small-Business
iManage Enrichment features and usability ratings that predict user satisfaction
0.0
No information available
8.9
Custom Extension
Average: 8.0
9.4
Compositionality
Average: 8.1
8.9
Pre-Built Parameterization
Average: 8.3
Seller Details
Seller
iManage
Year Founded
2015
HQ Location
Chicago, Illinois
Twitter
@imanageinc
2,747 Twitter followers
LinkedIn® Page
www.linkedin.com
1,224 employees on LinkedIn®
Entry Level Price:Contact Us
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Infinia ML and its IDP platform help customers and partners tackle their most complex document processing challenges. The platform reads and understands document content like a human being, using preb

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 75% Mid-Market
    • 25% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Infinia ML features and usability ratings that predict user satisfaction
    0.0
    No information available
    10.0
    Custom Extension
    Average: 8.0
    9.4
    Compositionality
    Average: 8.1
    8.3
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2017
    HQ Location
    Durham, US
    LinkedIn® Page
    www.linkedin.com
    34 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Infinia ML and its IDP platform help customers and partners tackle their most complex document processing challenges. The platform reads and understands document content like a human being, using preb

Users
No information available
Industries
No information available
Market Segment
  • 75% Mid-Market
  • 25% Small-Business
Infinia ML features and usability ratings that predict user satisfaction
0.0
No information available
10.0
Custom Extension
Average: 8.0
9.4
Compositionality
Average: 8.1
8.3
Pre-Built Parameterization
Average: 8.3
Seller Details
Year Founded
2017
HQ Location
Durham, US
LinkedIn® Page
www.linkedin.com
34 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    OpenText Magellan is a flexible AI and Analytics platform that combines open source machine learning with advanced analytics, enterprise-grade BI, and capabilities to acquire, merge, manage and analyz

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 40% Enterprise
    • 40% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • OpenText Data Discovery (Magellan) Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    1
    Features
    1
    Cons
    Insufficient Learning Resources
    1
    Insufficient Training
    1
    Lack of Guidance
    1
    Lack of Tutorials
    1
    Learning Curve
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • OpenText Data Discovery (Magellan) features and usability ratings that predict user satisfaction
    7.2
    Has the product been a good partner in doing business?
    Average: 9.0
    8.3
    Custom Extension
    Average: 8.0
    8.3
    Compositionality
    Average: 8.1
    8.3
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    OpenText
    Year Founded
    1991
    HQ Location
    Waterloo, ON
    Twitter
    @OpenText
    21,628 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    23,200 employees on LinkedIn®
    Ownership
    NASDAQ:OTEX
Product Description
How are these determined?Information
This description is provided by the seller.

OpenText Magellan is a flexible AI and Analytics platform that combines open source machine learning with advanced analytics, enterprise-grade BI, and capabilities to acquire, merge, manage and analyz

Users
No information available
Industries
No information available
Market Segment
  • 40% Enterprise
  • 40% Mid-Market
OpenText Data Discovery (Magellan) Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
1
Features
1
Cons
Insufficient Learning Resources
1
Insufficient Training
1
Lack of Guidance
1
Lack of Tutorials
1
Learning Curve
1
OpenText Data Discovery (Magellan) features and usability ratings that predict user satisfaction
7.2
Has the product been a good partner in doing business?
Average: 9.0
8.3
Custom Extension
Average: 8.0
8.3
Compositionality
Average: 8.1
8.3
Pre-Built Parameterization
Average: 8.3
Seller Details
Seller
OpenText
Year Founded
1991
HQ Location
Waterloo, ON
Twitter
@OpenText
21,628 Twitter followers
LinkedIn® Page
www.linkedin.com
23,200 employees on LinkedIn®
Ownership
NASDAQ:OTEX
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Rosette® text analytics is a robust toolkit for processing language, documents, and names. When combined together, they create powerful solutions that deliver insights for better decisions and deeper

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Enterprise
    • 33% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Rosette features and usability ratings that predict user satisfaction
    0.0
    No information available
    8.3
    Custom Extension
    Average: 8.0
    7.5
    Compositionality
    Average: 8.1
    8.3
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    1995
    HQ Location
    Somerville, US
    Twitter
    @basistechnology
    2,879 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    53 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

Rosette® text analytics is a robust toolkit for processing language, documents, and names. When combined together, they create powerful solutions that deliver insights for better decisions and deeper

Users
No information available
Industries
No information available
Market Segment
  • 67% Enterprise
  • 33% Small-Business
Rosette features and usability ratings that predict user satisfaction
0.0
No information available
8.3
Custom Extension
Average: 8.0
7.5
Compositionality
Average: 8.1
8.3
Pre-Built Parameterization
Average: 8.3
Seller Details
Year Founded
1995
HQ Location
Somerville, US
Twitter
@basistechnology
2,879 Twitter followers
LinkedIn® Page
www.linkedin.com
53 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    X Detector is an advanced multilingual tool designed to identify content generated by leading AI models. It supports detection of more than a dozen languages with high accuracy. No matter who you are,

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 67% Small-Business
    • 33% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • X Detector Pros and Cons
    How are these determined?Information
    Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
    Pros
    Ease of Use
    2
    Accuracy
    1
    AI Technology
    1
    Analysis Accuracy
    1
    Multilingual Support
    1
    Cons
    Inaccuracy
    1
    Lacking Features
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • X Detector features and usability ratings that predict user satisfaction
    0.0
    No information available
    9.4
    Custom Extension
    Average: 8.0
    8.9
    Compositionality
    Average: 8.1
    10.0
    Pre-Built Parameterization
    Average: 8.3
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    LinkedIn® Page
    www.linkedin.com
    1 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

X Detector is an advanced multilingual tool designed to identify content generated by leading AI models. It supports detection of more than a dozen languages with high accuracy. No matter who you are,

Users
No information available
Industries
No information available
Market Segment
  • 67% Small-Business
  • 33% Mid-Market
X Detector Pros and Cons
How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Ease of Use
2
Accuracy
1
AI Technology
1
Analysis Accuracy
1
Multilingual Support
1
Cons
Inaccuracy
1
Lacking Features
1
X Detector features and usability ratings that predict user satisfaction
0.0
No information available
9.4
Custom Extension
Average: 8.0
8.9
Compositionality
Average: 8.1
10.0
Pre-Built Parameterization
Average: 8.3
Seller Details
HQ Location
N/A
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®