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A review paper discussing text classification techniques for social media data. The paper, authored by Iosr Journals, examines data from platforms like Facebook, Twitter, LinkedIn, and YouTube, which includes user sentiments and opinions. It compares different machine learning classifiers for extracting meaningful information from informal, unstructured text.
License is unknown; may be a review paper rather than a directly downloadable dataset.