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A Django web application that classifies, sorts, and extracts information from the input text to identify models, relationships, sentiments, and other actionable knowledge.

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Text Analysis using Azure

A web-based application that classifies, sorts, and extracts information from the input text to identify patterns, relationships, feelings, and other usable knowledge. The analysis is performed using cognitive azure text analysis services and the Web used is Django.

Function

The application analyzes the following from the input text:

Sentimental Analysis

  • Detects the language of the text
  • Evaluate text and return sentiment scores.

Key Phrase extraction

  • Key phrase extraction is the concept of evaluating the text of a document, or documents, and then identifying the main talking points of the document(s).

  • evaluates the text, and returns a list of key phrases and main points in the text.

Entitiy recognition

  • It disambiguates the identity of an entity found in text and provides links to the entity on Wikipedia.

Example

image

Sentiment Analysis of text

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Key Phrases

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Entity Recognition

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A Django web application that classifies, sorts, and extracts information from the input text to identify models, relationships, sentiments, and other actionable knowledge.

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