Sentiment Analysis Using Machine Learning Techniques for Geopolitical Event Trends

Opinion mining using applied NLP techniques helps analyze the views of the public concerning specific topics via both news items and social media. Several machine learning models have been applied to texts from Twitter and Reddit to categorize sentiments as positive, negative, or neutral. Our approach, therefore, includes data preprocessing, feature extraction, and model training followed by model evaluation. In the models tested, Support Vector Machine led by reaching an accuracy of 71.5%. This work, therefore, shows how well NLP can tap public sentiment and what major events mold its trends over time.