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What is Twitter Sentiment Classifier with SVM about?

The project develops a Twitter sentiment classifier using TF-IDF features and a Linear SVM, aiming to accurately classify tweets as positive or negative. It utilizes the Sentiment140 dataset and emphasizes preprocessing to handle noise in raw tweets, ensuring better model performance. The classifier supports real-time sentiment prediction and has applications in brand monitoring, social media analytics, and customer feedback analysis.

Author

abhirupdey26

Language

EN