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Sentiment Analysis in Social Networks by nn0566419 is a document available to read on EtoBox.

What is Sentiment Analysis in Social Networks about?

This research paper discusses the application of machine learning techniques for sentiment analysis on social networks, particularly focusing on Twitter data. It outlines the process of preprocessing datasets, extracting features, and utilizing classifiers like Naive Bayes, Maximum Entropy, and SVM to analyze sentiments expressed in tweets. The study aims to automate the sentiment classification process to assist users in decision-making based on public opinions.

Author
nn0566419
Language
EN

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