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Blix

Google Cloud Natural Language API

4.3/5

(97)

Blix

Google Cloud Natural Language API Features

Algorithm (6)

Part of Speech Tagging: Gives user ability to parse text by parts of speech
Summarization: Provides user with a summary of inputted text
Named Entity Recognition: Gives user ability to parse text by named entities
Sentiment Analysis: Outputs the sentiment (positive or negative) of a given text
Emotion Detection: Provides user with emotion (e.g. sad, happy, etc.) of text
Language Detection: Detects language of a given text

System (5)

Data Ingestion & Wrangling: Gives user ability to import a variety of data sources for immediate use
Programming Language Support: Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript
Drag and Drop: Offers the ability for developers to drag and drop pieces of code or algorithms when building language models
Pre-Built Algorithms: Provides users with pre-built algorithms for simpler model development
Customizable Models: Allows user to build custom language models

Setup (3)

Integration: Provides the ability to import data from a variety of sources and in multiple data formats.
Maintenance: Consistently maintains, updates, and tests data sources to ensure quality.
No-Code: Allows users to analyze data easily without the need to code.

Data (2)

Analysis (7)

Automation: Automates back-end technical manual processes.
Named entity recognition: Identifies entities such as organization, person name, location, etc
Keyphrase Extraction: Extracts keyphrases to determine patterns and themes within text.
Topic Analysis: Automatically identifies and organizes text based on topic or subject matter.
Sentiment Analysis: Utilizes sentiment analysis to capture user feedback.
Language Identification: Identifies the language in which text was written in.
Syntax/Part of Speech Parsing: Provides the ability to identify syntax and parts of speech.

Customization (3)

Pre-Built Parameterization: Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.
Custom Extension: Allow user to add custom functions to Analysis capabilities
Compositionality: User created models can be used as features/pre-built in other models

Generative AI (2)

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Categories on G2

Natural Language Understanding (NLU)

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Pros and Cons Details

Google Cloud Natural Language API

4.3/5

(97)