Abstract
Sentiment analysis, a subfield of natural language processing, plays a crucial role in understanding public opinion, customer feedback, and social media sentiment. With the advent of big data, sentiment analysis has witnessed significant advancements in terms of techniques and applications. This paper presents a comprehensive review of leveraging big data for sentiment analysis, focusing on the techniques, applications and challenges employed in the field.
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