Luqman
Luqman

Reputation: 1

Sentiment Analysis for product rating

Hy, I am working on project that based on sentiment analysis for product rating. I have data set for good words and Negative words. When any user comment on website for product it will rate automatically out of 10 So i am confused with clustering technique and ago that solve my problem Plzzx Help Thanks in Advance.

Upvotes: 0

Views: 184

Answers (1)

Everyone
Everyone

Reputation: 1825

You are basically asking us what would be best for you to use as a classifier for your program while we have to idea how is your data stored.

However, it seems you only have two classes, positive and negative. And you want to classify new data based on word analysis of the data.

I have worked earlier in such problem, I used Rocchio's TF-IDF algorithm for such classification. You give it a set of training data (negative and positive words) and it classifies what later comes to the system.

It is based on vector classification and cosine similarity distance measure.

For more information you can read this paper. You can find an example of how the method works (on very small data) here.

Note: the provided example is a section of a project I worked on.

Upvotes: 1

Related Questions