Unveiling Insights with Twitter Data: Exploring Trends, Sentiments, and Predictions Through Social Media Mining
DOI:
https://doi.org/10.47750/Keywords:
Twitter data analysis, Sentiment analysis, social media trends, Machine learning algorithms, Text pre-processing, public opinionAbstract
With the rise of social media platforms, Twitter has become a significant source of real-time data. Analyzing Twitter data can provide valuable insights into public opinions, sentiments, and trends. The use of Twitter data for analysis gained prominence with the growth of social media platforms in recent years. Researchers and businesses recognized the potential of Twitter data in understanding public
sentiment, predicting trends, and conducting market research. As a result, various methods and algorithms were developed to process and classify Twitter data efficiently.
