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文件名称:sentiment_analysis_on_online_customer_reviews
介绍说明--下载内容来自于网络,使用问题请自行百度
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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
project/project/
project/project/afterextraction.csv
project/project/classifier.py
project/project/Final_Report.docx
project/project/inp.txt
project/project/main.py
project/project/ReadMe.txt
project/project/result.png
project/project/reviews.csv
project/project/simplewords.txt
project/project/specs.txt
project/project/afterextraction.csv
project/project/classifier.py
project/project/Final_Report.docx
project/project/inp.txt
project/project/main.py
project/project/ReadMe.txt
project/project/result.png
project/project/reviews.csv
project/project/simplewords.txt
project/project/specs.txt
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