Sentiment Analysis for Antipodean Cafe Reviews

  • Performs sentiment analysis on Antipodean Cafe customer reviews using TextBlob library to assign polarity scores and classify reviews, instead of pure NLP models.
  • Generates visualizations like word clouds and bigram analysis to identify prominent terms in each sentiment class.
  • Preprocesses text data (removing punctuation, converting to lowercase, handling special characters etc) and analyzes rating distribution and sentiment class distribution through graphs.
  • Provides insights into customer satisfaction levels and areas of improvement for the restaurant.
  • This is a 2023 project for the course CSCI 2304 - Intelligent Systems
 
 
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