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Sentiment Analysis on Game Review using TextBlob-lexicon and rule-based sentiment.

Python 100.00%
sentiment-classifier sentiment-polarity sentiment-scores sentimental-analysis sentiment textblob-sentiment-analysis textblob natural-language-processing python3

sentiment-analysis-on-game-review's Introduction

Sentiment-Analysis-on-Game-Review

File Structure:

.
├── SentimentModel.py	# Sentiment Model
├── test.xlsx		# Test Set - Game Reviews
├── output.xlsx		# Sentiment Results on test set
├── statistics.png	# Classification Results Graph
└── README.md

To Run:

python SentimentModel.py

Libraries used:

  1. install TextBlob pythonic text processing and sentiment analysis library

     $ pip install -U textblob
    
     $ python -m textblob.download_corpora
    
  2. install pandas : python package for data loading and analysis

     $ pip install pandas
    
  3. install opnpyxl: python library to read/write excel

     $ pip install openpyxl
    
  4. install matplotlib

     $ pip install matplotlib
    

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