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Best Natural Language Understanding (NLU) Software for Small Business

Blue Bowen
BB
Researched and written by Blue Bowen

Products classified in the overall Natural Language Understanding (NLU) category are similar in many regards and help companies of all sizes solve their business problems. However, small business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Small Business Natural Language Understanding (NLU) to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Small Business Natural Language Understanding (NLU) category.

In addition to qualifying for inclusion in the Natural Language Understanding (NLU) Software category, to qualify for inclusion in the Small Business Natural Language Understanding (NLU) Software category, a product must have at least 10 reviews left by a reviewer from a small business.

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G2 takes pride in showing unbiased reviews on user satisfaction in our ratings and reports. We do not allow paid placements in any of our ratings, rankings, or reports. Learn about our scoring methodologies.

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7 Listings in Small Business Natural Language Understanding (NLU) Available

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

    Make your content and apps multilingual with fast, dynamic machine translation available in thousands of language pairs.

    Users
    • Software Engineer
    • Data Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 53% Small-Business
    • 24% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud Translation API 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
    Translation Services
    101
    Ease of Use
    93
    Multilingual Support
    73
    Language Support
    65
    Accuracy
    63
    Cons
    Translation Accuracy
    56
    Expensive
    42
    Accuracy Issues
    38
    Translation Issues
    26
    Limited Language Support
    24
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Translation API features and usability ratings that predict user satisfaction
    8.7
    Summarization
    Average: 9.0
    8.8
    Language Detection
    Average: 8.8
    8.8
    Part of Speech Tagging
    Average: 8.6
    8.5
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,617 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Make your content and apps multilingual with fast, dynamic machine translation available in thousands of language pairs.

Users
  • Software Engineer
  • Data Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 53% Small-Business
  • 24% Enterprise
Google Cloud Translation API 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
Translation Services
101
Ease of Use
93
Multilingual Support
73
Language Support
65
Accuracy
63
Cons
Translation Accuracy
56
Expensive
42
Accuracy Issues
38
Translation Issues
26
Limited Language Support
24
Google Cloud Translation API features and usability ratings that predict user satisfaction
8.7
Summarization
Average: 9.0
8.8
Language Detection
Average: 8.8
8.8
Part of Speech Tagging
Average: 8.6
8.5
Quality of Support
Average: 8.4
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,617 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
Ownership
NASDAQ:GOOG
(97)4.3 out of 5
1st Easiest To Use in Natural Language Understanding (NLU) software
View top Consulting Services for Google Cloud Natural Language API
Save to My Lists
Entry Level Price:Free
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Derive insights from unstructured text using Google machine learning.

    Users
    • Software Engineer
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 55% Small-Business
    • 24% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Google Cloud Natural Language API 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
    Cloud Computing
    2
    Accuracy
    1
    AI Technology
    1
    Application Development
    1
    Automation
    1
    Cons
    Not User-Friendly
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Google Cloud Natural Language API features and usability ratings that predict user satisfaction
    8.6
    Summarization
    Average: 9.0
    8.8
    Language Detection
    Average: 8.8
    8.6
    Part of Speech Tagging
    Average: 8.6
    8.7
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Google
    Year Founded
    1998
    HQ Location
    Mountain View, CA
    Twitter
    @google
    31,497,617 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    325,307 employees on LinkedIn®
    Ownership
    NASDAQ:GOOG
Product Description
How are these determined?Information
This description is provided by the seller.

Derive insights from unstructured text using Google machine learning.

Users
  • Software Engineer
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 55% Small-Business
  • 24% Enterprise
Google Cloud Natural Language API 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
Cloud Computing
2
Accuracy
1
AI Technology
1
Application Development
1
Automation
1
Cons
Not User-Friendly
1
Google Cloud Natural Language API features and usability ratings that predict user satisfaction
8.6
Summarization
Average: 9.0
8.8
Language Detection
Average: 8.8
8.6
Part of Speech Tagging
Average: 8.6
8.7
Quality of Support
Average: 8.4
Seller Details
Seller
Google
Year Founded
1998
HQ Location
Mountain View, CA
Twitter
@google
31,497,617 Twitter followers
LinkedIn® Page
www.linkedin.com
325,307 employees on LinkedIn®
Ownership
NASDAQ:GOOG

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(77)4.3 out of 5
2nd Easiest To Use in Natural Language Understanding (NLU) software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Azure AI Language is a managed service for developing natural language processing applications. Identify key terms and phrases, analyze sentiment, summarize text, and build conversational interfaces.

    Users
    No information available
    Industries
    No information available
    Market Segment
    • 42% Small-Business
    • 32% Enterprise
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • Azure AI Language 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
    Understanding
    2
    Accuracy
    1
    Experience Satisfaction
    1
    Natural Language Processing
    1
    Response Accuracy
    1
    Cons
    This product has not yet received any negative sentiments.
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Azure AI Language features and usability ratings that predict user satisfaction
    8.2
    Summarization
    Average: 9.0
    8.5
    Language Detection
    Average: 8.8
    8.1
    Part of Speech Tagging
    Average: 8.6
    8.4
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    Microsoft
    Year Founded
    1975
    HQ Location
    Redmond, Washington
    Twitter
    @microsoft
    13,133,301 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    220,934 employees on LinkedIn®
    Ownership
    MSFT
Product Description
How are these determined?Information
This description is provided by the seller.

Azure AI Language is a managed service for developing natural language processing applications. Identify key terms and phrases, analyze sentiment, summarize text, and build conversational interfaces.

Users
No information available
Industries
No information available
Market Segment
  • 42% Small-Business
  • 32% Enterprise
Azure AI Language 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
Understanding
2
Accuracy
1
Experience Satisfaction
1
Natural Language Processing
1
Response Accuracy
1
Cons
This product has not yet received any negative sentiments.
Azure AI Language features and usability ratings that predict user satisfaction
8.2
Summarization
Average: 9.0
8.5
Language Detection
Average: 8.8
8.1
Part of Speech Tagging
Average: 8.6
8.4
Quality of Support
Average: 8.4
Seller Details
Seller
Microsoft
Year Founded
1975
HQ Location
Redmond, Washington
Twitter
@microsoft
13,133,301 Twitter followers
LinkedIn® Page
www.linkedin.com
220,934 employees on LinkedIn®
Ownership
MSFT
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    scite is an award-winning research tool that helps users better discover, understand, and evaluate research through Smart Citations. Smart Citations display the context of the citation and describe wh

    Users
    No information available
    Industries
    • Research
    • Higher Education
    Market Segment
    • 48% Small-Business
    • 12% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • scite.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
    Useful
    11
    Ease of Use
    8
    Helpful
    7
    Accuracy
    3
    Efficiency
    3
    Cons
    AI Limitations
    4
    Translation Accuracy
    2
    Accuracy Issues
    1
    Context Understanding
    1
    Feature Complexity
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • scite.ai features and usability ratings that predict user satisfaction
    8.5
    Summarization
    Average: 9.0
    8.5
    Language Detection
    Average: 8.8
    6.9
    Part of Speech Tagging
    Average: 8.6
    8.8
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    scite.ai
    Year Founded
    2018
    HQ Location
    New York, US
    LinkedIn® Page
    www.linkedin.com
    5 employees on LinkedIn®
Product Description
How are these determined?Information
This description is provided by the seller.

scite is an award-winning research tool that helps users better discover, understand, and evaluate research through Smart Citations. Smart Citations display the context of the citation and describe wh

Users
No information available
Industries
  • Research
  • Higher Education
Market Segment
  • 48% Small-Business
  • 12% Mid-Market
scite.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
Useful
11
Ease of Use
8
Helpful
7
Accuracy
3
Efficiency
3
Cons
AI Limitations
4
Translation Accuracy
2
Accuracy Issues
1
Context Understanding
1
Feature Complexity
1
scite.ai features and usability ratings that predict user satisfaction
8.5
Summarization
Average: 9.0
8.5
Language Detection
Average: 8.8
6.9
Part of Speech Tagging
Average: 8.6
8.8
Quality of Support
Average: 8.4
Seller Details
Seller
scite.ai
Year Founded
2018
HQ Location
New York, US
LinkedIn® Page
www.linkedin.com
5 employees on LinkedIn®
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts

    Users
    No information available
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 39% Mid-Market
    • 38% Small-Business
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • Amazon Comprehend features and usability ratings that predict user satisfaction
    8.6
    Summarization
    Average: 9.0
    8.3
    Language Detection
    Average: 8.8
    8.7
    Part of Speech Tagging
    Average: 8.6
    8.4
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Year Founded
    2006
    HQ Location
    Seattle, WA
    Twitter
    @awscloud
    2,217,364 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    143,584 employees on LinkedIn®
    Ownership
    NASDAQ: AMZN
Product Description
How are these determined?Information
This description is provided by the seller.

Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts

Users
No information available
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 39% Mid-Market
  • 38% Small-Business
Amazon Comprehend features and usability ratings that predict user satisfaction
8.6
Summarization
Average: 9.0
8.3
Language Detection
Average: 8.8
8.7
Part of Speech Tagging
Average: 8.6
8.4
Quality of Support
Average: 8.4
Seller Details
Year Founded
2006
HQ Location
Seattle, WA
Twitter
@awscloud
2,217,364 Twitter followers
LinkedIn® Page
www.linkedin.com
143,584 employees on LinkedIn®
Ownership
NASDAQ: AMZN
(319)4.7 out of 5
4th Easiest To Use in Natural Language Understanding (NLU) software
Save to My Lists
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    InMoment, the leader in improving experiences and the highest recommended CX platform and services company in the world is renowned for helping clients collect and integrate customer experience data t

    Users
    • Product Manager
    • Customer Success Manager
    Industries
    • Computer Software
    • Information Technology and Services
    Market Segment
    • 47% Small-Business
    • 39% Mid-Market
  • Pros and Cons
    Expand/Collapse Pros and Cons
  • InMoment Experience Improvement (XI) Platform 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 Feedback
    5
    Feedback Management
    4
    Data Management
    3
    Ease of Use
    3
    Helpful
    3
    Cons
    Expensive
    2
    Filtering Issues
    2
    Limitations
    2
    Limited Customization
    2
    AI Limitations
    1
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • InMoment Experience Improvement (XI) Platform features and usability ratings that predict user satisfaction
    0.0
    No information available
    0.0
    No information available
    0.0
    No information available
    9.0
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    Seller
    InMoment
    Year Founded
    2002
    HQ Location
    Salt Lake City, UT
    Twitter
    @WeAreInMoment
    1,891 Twitter followers
    LinkedIn® Page
    www.linkedin.com
    562 employees on LinkedIn®
    Phone
    905-542-9001
Product Description
How are these determined?Information
This description is provided by the seller.

InMoment, the leader in improving experiences and the highest recommended CX platform and services company in the world is renowned for helping clients collect and integrate customer experience data t

Users
  • Product Manager
  • Customer Success Manager
Industries
  • Computer Software
  • Information Technology and Services
Market Segment
  • 47% Small-Business
  • 39% Mid-Market
InMoment Experience Improvement (XI) Platform 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 Feedback
5
Feedback Management
4
Data Management
3
Ease of Use
3
Helpful
3
Cons
Expensive
2
Filtering Issues
2
Limitations
2
Limited Customization
2
AI Limitations
1
InMoment Experience Improvement (XI) Platform features and usability ratings that predict user satisfaction
0.0
No information available
0.0
No information available
0.0
No information available
9.0
Quality of Support
Average: 8.4
Seller Details
Seller
InMoment
Year Founded
2002
HQ Location
Salt Lake City, UT
Twitter
@WeAreInMoment
1,891 Twitter followers
LinkedIn® Page
www.linkedin.com
562 employees on LinkedIn®
Phone
905-542-9001
  • Overview
    Expand/Collapse Overview
  • Product Description
    How are these determined?Information
    This description is provided by the seller.

    NLTK is a platform for building Python programs to work with human language data that provides interfaces to corpora and lexical resources such as WordNet, along with a suite of text processing librar

    Users
    • Data Scientist
    • Software Engineer
    Industries
    • Information Technology and Services
    • Computer Software
    Market Segment
    • 52% Small-Business
    • 29% Enterprise
  • User Satisfaction
    Expand/Collapse User Satisfaction
  • NLTK features and usability ratings that predict user satisfaction
    7.4
    Summarization
    Average: 9.0
    7.0
    Language Detection
    Average: 8.8
    7.4
    Part of Speech Tagging
    Average: 8.6
    8.2
    Quality of Support
    Average: 8.4
  • Seller Details
    Expand/Collapse Seller Details
  • Seller Details
    HQ Location
    N/A
    Twitter
    @NLTK_org
    2,335 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.

NLTK is a platform for building Python programs to work with human language data that provides interfaces to corpora and lexical resources such as WordNet, along with a suite of text processing librar

Users
  • Data Scientist
  • Software Engineer
Industries
  • Information Technology and Services
  • Computer Software
Market Segment
  • 52% Small-Business
  • 29% Enterprise
NLTK features and usability ratings that predict user satisfaction
7.4
Summarization
Average: 9.0
7.0
Language Detection
Average: 8.8
7.4
Part of Speech Tagging
Average: 8.6
8.2
Quality of Support
Average: 8.4
Seller Details
HQ Location
N/A
Twitter
@NLTK_org
2,335 Twitter followers
LinkedIn® Page
www.linkedin.com
1 employees on LinkedIn®