Journal of Data Mining and Knowledge Engineering ISSN: 3139-5341 (Online)

Abstract

This paper explores the dynamic field of social media data mining with a focus on sentiment analysis and trend prediction. With the increasing prevalence of social media platforms, the wealth of user-generated content presents a valuable source of information for understanding public sentiment and predicting emerging trends. The paper investigates various data mining techniques applied to social media data and provides insights into their applications, challenges, and potential advancements.

Keywords- Social media data mining, Sentiment analysis, Trend prediction, Machine learning, Natural language processing, Deep learning, Time-series analysis, Clustering algorithms, Data noise, Bias in data, Explainable AI.