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Code for WWW'21 paper "TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release"

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TOUR

Code for [WWW'20] TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release.

Visit the project homepage for video demonstration and user feedbacks.

Installation

  1. pip install -r requirements.txt
  2. python -m spacy download en_core_web_sm or conda install -c conda-forge spacy-model-en_core_web_sm
  3. pip install Cython or conda install Cython
  4. python build_pyx.py build_ext --inplace
  5. python -c "import nltk; nltk.download('stopwords'); nltk.download('wordnet'); nltk.download('averaged_perceptron_tagger'); nltk.download('punkt')"

Usage

  1. mkdir results
  2. python app.py
  3. visit http://localhost:5000

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Code for WWW'21 paper "TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release"

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