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.
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Python
Natural Language Processing
Tweets
Sentiment
Sentiment Analysis
Decision Trees
Text Mining
Lexicon