Browsing by Subject "Tweets"
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Clustering of tweets: A novel approach to label the unlabelled tweets
(Springer, 2020)Twitter is one of the fastest growing microblogging and online social networking site that enables users to send and receive messages in the form of tweets. Twitter is the trend of today for news analysis and discussions. ... -
Comparison of Public and Critics Opinion About the Taliban Government Over Afghanistan Through Sentiment Analysis
(Springer Science and Business Media Deutschland GmbH, 2023-05-03)The usage of social media has increased exponentially these days. People worldwide are sharing their opinions on different platforms such as Twitter, personal blogs, Facebook, and other similar platforms. Twitter has grown ... -
Hate Speech and Offensive Language Detection in Twitter Data Using Machine Learning Classifiers
(Springer Science and Business Media Deutschland GmbH, 2023-05-03)Social media is rapidly growing in popularity and has its advantages and disadvantages. Users posting their daily updates and opinions on social media may inadvertently hurt the feelings of others. Detecting hate speech ... -
Semi-supervised labeling: a proposed methodology for labeling the twitter datasets
(Springer, 2022-01-28)Twitter has nowadays become a trending microblogging and social media platform for news and discussions. Since the dramatic increase in its platform has additionally set off a dramatic increase in spam utilization in this ...