GitHub / SD7Campeon / Yelp-Sentiment-Analysis-with-Python-BS4-and-LLM
A scalable pipeline for automated extraction, preprocessing, and sentiment analysis of Yelp reviews. Uses advanced HTTP requests, HTML parsing, and text normalization (tokenization, stopword removal, lemmatization) to enable precise polarity and subjectivity analysis for consumer insights and business analytics.
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PURL: pkg:github/SD7Campeon/Yelp-Sentiment-Analysis-with-Python-BS4-and-LLM
Stars: 1
Forks: 0
Open issues: 0
License: mit
Language:
Size: 11.7 KB
Dependencies parsed at: Pending
Created at: 6 months ago
Updated at: 6 months ago
Pushed at: 6 months ago
Last synced at: about 1 month ago
Topics: beautifulsoup, beautifulsoup4, business-analytics, cuda, data-analysis, nlp-machine-learning, nltk, opinion-mining, pandas, python, python3, requests-library-python, sentiment-analysis, text-preprocessing, textblob, torch, web-scraping, yelp-reviews