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textblob-sentiment-analysis

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This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).

  • Updated Jul 26, 2018
  • Python

Developed a machine learning model to detect media bias in news articles. Employed natural language processing techniques to analyze text content and classify sources into unbiased, left-leaning, or right-leaning categories. This project enhanced my expertise in text analysis and understanding of media landscape.

  • Updated Dec 1, 2023
  • Python

This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.

  • Updated Aug 31, 2019
  • Python

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