文件名称:sentiment_analysis_on_online_customer_reviews
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The project is to determine how much a particular factor influences on the helpfulness of a review. We extracted
features like polarity, rating, average word length, helpfulness ratio the collected amazon data. We used
gradient boosting classifier in ensemble learning technique to train and test the data.-The project is to determine how much a particular factor influences on the helpfulness of a review. We extracted
features like polarity, rating, average word length, helpfulness ratio the collected amazon data. We used
gradient boosting classifier in ensemble learning technique to train and test the data.
features like polarity, rating, average word length, helpfulness ratio the collected amazon data. We used
gradient boosting classifier in ensemble learning technique to train and test the data.-The project is to determine how much a particular factor influences on the helpfulness of a review. We extracted
features like polarity, rating, average word length, helpfulness ratio the collected amazon data. We used
gradient boosting classifier in ensemble learning technique to train and test the data.
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下载文件列表
project\project
.......\.......\afterextraction.csv
.......\.......\classifier.py
.......\.......\Final_Report.docx
.......\.......\inp.txt
.......\.......\main.py
.......\.......\ReadMe.txt
.......\.......\result.png
.......\.......\reviews.csv
.......\.......\simplewords.txt
.......\.......\specs.txt