GitHub / rsher60 / Sentiment-Analysis-by-combining-Machine-Learning-and-Lexicon-Based-methods

This project is on twitter sentimental analysis by combining lexicon based and machine learning approaches. A supervised lexicon-based approach for extracting sentiments from tweets was implemented. Various supervised machine learning approaches were tested using scikit-learn libraries in python and implemented Decision Trees and Naive Bayes techniques.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rsher60%2FSentiment-Analysis-by-combining-Machine-Learning-and-Lexicon-Based-methods
PURL: pkg:github/rsher60/Sentiment-Analysis-by-combining-Machine-Learning-and-Lexicon-Based-methods

Topics: decision-tree-classifier, naive-bayes-classifier, nlp, nltk-library, python27, sentiment-analysis, text-mining

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