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What is Twitter Sentiment Analysis Techniques about?

This paper explores sentiment detection on Twitter using natural language processing and machine learning techniques, highlighting the effectiveness of classifiers like SVM, Naive Bayes, and Decision Trees. The study demonstrates that SVM achieves high accuracy, with precision rates of 79.79% for a 1000-tweet dataset and 83.76% for a 5000-tweet dataset. The research contributes to the development of automated tools for extracting subjective information from unstructured texts, aiding decision-making based o

Author

Rafael Guzman

Language

EN