About this document

Twitter Sentiment Analysis Techniques by chandanapavani100 is a document available to read on EtoBox.

The document discusses sentiment analysis on Twitter data, highlighting its significance for various sectors like business, politics, and social research. It outlines methodologies for data collection, preprocessing, feature extraction, and classification using machine learning techniques, particularly Naïve Bayes and SVM. Challenges such as informal language and sarcasm are noted, with recommendations for future improvements including deep learning approaches.

Author

chandanapavani100

Language

EN