Result Analysis on Twitter Sentiment Analysis using BERT Algorithm
Author(s):
SAMRUDDHI MANOJ MAHALLE, DR V. S. GULHANE, DR AVINASH P. JADHAO
Keywords:
BERT, Sentiment, Twitter, Django, Deep Learning.
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.
Article Details
Unique Paper ID: 161238

Publication Volume & Issue: Volume 10, Issue 3

Page(s): 11 - 19
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