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Tool for find topic sentiment

Project description

Topic Sentiment Model

Sentiment Analysis component for Formsflow.ai

One of the unique features of Formsflow.ai framework is Sentiment Analysis. A form designer can add text component with sentiment analysis enabled when creating forms with associated topics. Based on the input responses of the user Formsflow.ai process sentiment associated with user responses. A detailed visualisation is being rendered in Insights section of Formsflow.ai which shows the overall sentiment and detailed sentiment analysis based on the topics specified by the form designer.

Libraries used

  • Spacy
  • NLTK

Machine Learning model

This project groups the input sentences into specific topic categories and uses custom named entity classification, our machine learning model identifies words belonging to a particular topic. This custom named entity recognition is done using Spacy library. One of top of it we do aspect based sentiment analysis for each given topics. For this currently we have leveraged NLTK vader library.

Project details


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topicsentiment-1.0.2.tar.gz (28.7 MB view hashes)

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Built Distribution

topicsentiment-1.0.2-py3-none-any.whl (16.7 MB view hashes)

Uploaded Python 3

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