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Result Analysis on Twitter Sentiment Analysis using BERT Algorithm

  • Unique Paper ID: 161238
  • Volume: 10
  • Issue: 3
  • PageNo: 11-19
  • Abstract:
  • With the exponential growth of web technology and the increasing popularity of social networking sites like Twitter, there has been an unprecedented volume of user-generated data available on the internet. The diverse nature of opinions and sentiments expressed in tweets presents a unique opportunity for sentiment analysis, where understanding the emotions and attitudes of users towards various topics becomes crucial. Sentiment analysis on Twitter is a challenging task due to the unstructured and heterogeneous nature of the content, which can be positive, negative, or neutral in different contexts. In this paper, we present a comprehensive survey and comparative analysis of existing techniques for sentiment analysis, with a focus on utilizing the BERT (Bidirectional Encoder Representations from Transformers) model, a cutting-edge deep learning approach.
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  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 3
  • PageNo: 11-19

Result Analysis on Twitter Sentiment Analysis using BERT Algorithm

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