research data . Dataset . 2019

Twitter Sentiment Analysis

Lamsal, Rabindra;
  • Published: 25 Oct 2019
  • Publisher: IEEE DataPort
Abstract
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. Only the first two columns of the databases are the outputs of the model. The last column, viz. sentiment score, is not from the model deployed at sentiment.live. The LSTM model is still in development. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each colle...
Subjects
free text keywords: Artificial Intelligence, Machine Learning, Sentiment Analysis, Natural Language Processing
Communities
Digital Humanities and Cultural Heritage
IEEE DataPort
Dataset . 2019
Provider: Datacite
IEEE DataPort
Dataset . 2019
Provider: Datacite
IEEE DataPort
Dataset . 2019
Provider: Datacite
IEEE DataPort
Dataset . 2019
Provider: Datacite
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