Sentiment Analysis On Twitter

The book "Sentiment Analysis on Twitter" offers a comprehensive examination of sentiment analysis, also known as opinion research, in the context of Twitter data. It highlights the methods and techniques used to analyze sentiments, opinions, and emotions in social media. By applying Natural Language Processing (NLP) and Machine Learning (ML), it demonstrates how sentiment analyses can be conducted at various levels of granularity. The book utilizes the TextBlob library to categorize tweets into positive, negative, and neutral sentiments and implements the Support Vector Machine (SVM) algorithm to evaluate the model's performance and compare it with other classifiers. This detailed analysis provides valuable insights for researchers and practitioners in the field of data analysis and social media.