research data . Dataset . 2019

Twitter Sentiment Analysis Data

Lamsal, Rabindra;
Open Access
  • Published: 30 Oct 2019
  • Publisher: IEEE DataPort
Abstract
Collect Corona Virus related Tweets from here.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[1]. The last column, viz. sentiment score, is not the score estimated by the model. The LSTM model is still in the pre-alpha phase. Therefore, to make it easy for the NLP researchers to get access to the sentiment analysis of each collected tweet, the sentiment ...
Subjects
free text keywords: Artificial Intelligence, Machine Learning, Sentiment Analysis, Natural Language Processing, Twitter data
Communities
COVID-19
Digital Humanities and Cultural Heritage
figshare
Dataset . 2019
Provider: Datacite
figshare
Dataset . 2019
Provider: Datacite
figshare
Dataset . 2019
Provider: Datacite
IEEE DataPort
Dataset . 2019
Provider: Datacite
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