WHAT |
Machine-learned prediction of review helpfulness score |
WHEN |
April 2014 |
WHO |
Me, Stefano Fenu, Charles Wang |
WHERE |
Georgia Tech, CS 4650 |
WHY |
We were told to do an NLP-based project, and predicting review helpfulness with a massive dataset was an awesome idea for that |
HOW |
The report covers the gruesome details, but really nothing too fancy - an online PassiveAggressive classifier that used word counts as features and got trained on massive amounts of data using online batch training. I was very impressed that simply feeding in more data led it to gradually get to 90% accuracy, but dissapointed no other features seemed to help. This project also reinforced for me how awesome Python’s SciPy is - truly a great package. |
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