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reviews-analysis

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rotten-tomatoes-etl-pipeline

lilienthal-ls / rotten-tomatoes-etl-pipeline

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This project implements an end-to-end ETL pipeline for large-scale processing and analysis of Rotten Tomatoes horror movie reviews, with a focus on high-volume, unstructured text data from users and critics.

sqlalchemy etl postgresql pandas stopwords wordcount rotten-tomatoes hadoop-mapreduce extract-transform-load reviewsanalysis-nlp spacy-nlp etl-pipeline sqlalchemy-database wordcounter sqlalchemy-python cleaning-data reviews-analysis
  • Updated Jan 29, 2026
  • Jupyter Notebook

Akash00masai / Reviews_Analysis

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This project analyzes tourist reviews using Python, MySQL, and Power BI to uncover sentiment trends across global destinations. It features text cleaning, sentiment analysis, SQL-based insights, and interactive dashboards showcasing sentiment distribution, top-rated cities, and monthly trends to support travel industry decision-making.

reviews-analysis
  • Updated Jun 2, 2025
  • Jupyter Notebook

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