An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.
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Updated
Dec 11, 2022 - Python
An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.
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).
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You can watch the working of this project at https://www.youtube.com/watch?v=me782RAMM3Y
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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.
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