Twitter Sentiment Analysis
收藏IEEE2019-10-26 更新2026-04-17 收录
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https://ieee-dataport.org/documents/twitter-sentiment-analysis
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Each database (*.db) contain three columns. First column: date and time of the tweet, second column: tweet, third column: sentiment score for the particular tweet within the range [-1,1] with -1 being the most negative, 0 being the neutral and +1 being the most positive sentiment.The tweets have been collected by the LSTM model deployed here at sentiment.live. The last column, viz. sentiment score, is not the score socred by the model deployed at sentiment.live. The LSTM model is still in beta phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment score out of TextBlob has been appended as the last column. The sentiment scores of our model will be made available publicly after the project leads to a targetted summit.New databases will be added to this dataset collection every week.####current status###databases: 2,tweets count: 3 million-plus The deep learning model is currently live at https://sentiment.live.
提供机构:
JNU, New Delhi
创建时间:
2019-10-26



