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What is Sentiment Analysis Using Machine Learning about?

This research article reviews various machine learning techniques for sentiment analysis, focusing on their application in analyzing sentiments from social media platforms like Twitter. It highlights the effectiveness of supervised learning methods, particularly classifiers such as Naive Bayes, Support Vector Machine, Multi-Layer Perceptron, and Long Short Term Memory, in achieving high classification accuracy. The paper also discusses the challenges of sentiment analysis in different languages and its impl

Author

EighthSenseGroup

Language

EN