2023
DOI: 10.32604/cmc.2023.041520
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Improving Sentiment Analysis in Election-Based Conversations on Twitter with ElecBERT Language Model

Asif Khan,
Huaping Zhang,
Nada Boudjellal
et al.

Abstract: Sentiment analysis plays a vital role in understanding public opinions and sentiments toward various topics. In recent years, the rise of social media platforms (SMPs) has provided a rich source of data for analyzing public opinions, particularly in the context of election-related conversations. Nevertheless, sentiment analysis of electionrelated tweets presents unique challenges due to the complex language used, including figurative expressions, sarcasm, and the spread of misinformation. To address these chal… Show more

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