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Implemented feature selection schemes(tf*idf, Topic Terms co-occurrence, Lexical Chains, and Mixed Features.) for text classification using Naïve Bayesian approach. Evaluated on accuracy, precision, recall, and F1-Measure.

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sonukumar7258/Feature-Selection-for-Text-Classification

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Feature-Selection-for-Text-Classification

Implemented feature selection schemes(tf*idf, Topic Terms co-occurrence, Lexical Chains, and Mixed Features.) for text classification using Naïve Bayesian approach. Evaluated on accuracy, precision, recall, and F1-Measure.

you can download WEBKB dataset on the following link: http://www.cs.cmu.edu/~webkb/

other wise i have uploaded pdf, every task is defined which i have performed and dataset link is also given there

make sure to replace dataset link with your paths

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Implemented feature selection schemes(tf*idf, Topic Terms co-occurrence, Lexical Chains, and Mixed Features.) for text classification using Naïve Bayesian approach. Evaluated on accuracy, precision, recall, and F1-Measure.

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