sentiment-analysis
Learning sentiment analysis using various NLP techniques
- Tfidf/Count vectorization coupled with naive bayes, logistic regression, etc.
Results
Test metrics
Using count vectorizer
Using tf idf
Using wordToVec embeddings and taking average of all word's embedding
Model explanations
Using LIME
Using Logistic Regression count vectorizer
Words with their importances in positive or negative prediction
Using Logistic Regression tfidf
Words with their importances in positive or negative prediction
