abhinavthapper31 / Sentiment-Analysis-on-Product-Reviews

Text Classification Problem : Wrote a module to classify Amazon-Product Reviews as favourable/unfavourable. Achieved accuracy of 78% and an F1 score of .81 using Logistic Regression on a test-train split of 20%, where total records were around 50000.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

abhinavthapper31/Sentiment-Analysis-on-Product-Reviews Stargazers