The series TLOU has become very trendy these days and there have been many contradictions about the main actors of this series, Pedro Pascal and Bella Ramsey. In this project, I tried to understand the critics' feelings about the acting of these two actors based on the reviews of this series on IMDB

I used Beautifulsoup and Selenium to scrape data from TLOU review's page (over 1400 reviews)

• Understanding the data

  • Shape of the data
  • Check column dtypes
  • Check is there any null values

• Data Preprocessing

  • Convert Date Format to Datetime
  • Convert Rating Format to Int

• Feature Engineering

  • Create Sentiment by Review Rating

• Analyzing Reviews

  • What Rating Did the Users Give to the Series?
  • Whats the Min, AVG, Max of Ratings?
  • What's the number of reviews according to episodes release date?
  • Review Sentiments Based on Rating
  • What's the Most Frequent Words in the Reviews?

• Extract Reviews with Bella Ramsey and Pedro Pascal Mentions and Apply Sentiment Analysis on Them for this task I used huggingface transformers for Sentiment Analysis and Spacy for NER

• pandas
• matplotlib
• seaborn
• wordcloud
• pytorch
• transformers
• spaCy
• selenium
• beautifulsoup