Amazon Comprehend Features

Gives user ability to parse text by parts of speech

Provides user with a summary of inputted text

Gives user ability to parse text by named entities

Outputs the sentiment (positive or negative) of a given text

Provides user with emotion (e.g. sad, happy, etc.) of text

Detects language of a given text

Gives user ability to import a variety of data sources for immediate use

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building language models

Provides users with pre-built algorithms for simpler model development

Allows user to build custom language models

Provides the ability to import data from a variety of sources and in multiple data formats.

Consistently maintains, updates, and tests data sources to ensure quality.

Allows users to analyze data easily without the need to code.

Ensures privacy and security of customer data.

Visualizes text data through charts and graphs.

Automates back-end technical manual processes.

Identifies entities such as organization, person name, location, etc

Extracts keyphrases to determine patterns and themes within text.

Automatically identifies and organizes text based on topic or subject matter.

Utilizes sentiment analysis to capture user feedback.

Identifies the language in which text was written in.

Provides the ability to identify syntax and parts of speech.

Allow capabilities to be customized (key-phrase, topics, sentiment, named entity) by adding keywords or exceptions.

Allow user to add custom functions to Analysis capabilities

User created models can be used as features/pre-built in other models

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.