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View Code? Open in Web Editor NEWWeb scraper from a car review website and building language model to analyze it
Web scraper from a car review website and building language model to analyze it
Car Review Project file description: 1. car_review.pkl is the scrapped reviews from website, in the format of dictionary 2. car_sa_review.csv is the re-constructed data file, with sentimental analysis implemented and attached as feature 'sentiment xxx'. 3. data_processing.py provides some useful tools for NLP data cleaning. 4. lda_core.py provides the core idea of LDA model in this project. 5. main.py is the file conducting analysis, web scrapping and visualization. 6. sa_core.py provides ideas for sentimental analysis. 7. stop_words.txt gives a list of stop words. 8. web_core.py implements the core idea of our scrapper. Environment Requirement: 1. python: 3.7.6 2. IDE: PyCharm Community Edition 19.3 3. snownlp 0.12.3 4. numpy 1.18.1 5. pandas 1.0.1 6. cfscrape 2.1.1 7. gensim 3.8.3 8. textblob 0.15.3, after install textblob, run terminal code ''
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