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Sentiment_Analysis

所属分类：特征抽取
开发工具：Jupyter Notebook
文件大小：881KB
下载次数：0
上传日期：2017-03-07 02:03:16
上传者：sh-1993

说明：一种新的基于逻辑分类的酒店评论情绪分析方法，具有高F1分（0.97）
(A novel hotel review sentiment analysis method with a high F1 score (0.97) based on logistic classification)

文件列表:

Tripadvisor_hotel_reviews.ipynb (986599, 2017-03-07)
result (0, 2017-03-07)
result\basic_sentiment_model.png (142575, 2017-03-07)
result\hotel_reviews_count.png (178181, 2017-03-07)
result\reviews_rating.png (64982, 2017-03-07)
result\reviews_rating_distribution.png (71625, 2017-03-07)
result\selected_word_coefficient.png (193934, 2017-03-07)
result\selected_word_sentiment_model.png (147436, 2017-03-07)
result\tf_idf_sentiment_model.png (137429, 2017-03-07)

# Sentiment_Analysis ## Result: ### Hotel reviews count ![hotel_reviews_count](https://github.com/YeWang0/Sentiment_Analysis/blob/master/result/hotel_reviews_count.png) ### Reviews rating ![reviews rating](https://github.com/YeWang0/Sentiment_Analysis/blob/master/result/reviews_rating.png?raw=true) ### Reviews rating distribution ![](https://github.com/YeWang0/Sentiment_Analysis/blob/master/result/reviews_rating_distribution.png?raw=true) ### Basic sentiment model ![basic_sentiment_model](https://github.com/YeWang0/Sentiment_Analysis/blob/master/result/basic_sentiment_model.png) ### Seleted word sentiment model ![](https://github.com/YeWang0/Sentiment_Analysis/blob/master/result/selected_word_sentiment_model.png?raw=true) ### Selected word sentiment model: word coefficient ![](https://github.com/YeWang0/Sentiment_Analysis/blob/master/result/selected_word_coefficient.png?raw=true) ### TF-IDF sentiment model ![](https://github.com/YeWang0/Sentiment_Analysis/blob/master/result/tf_idf_sentiment_model.png?raw=true)

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