Predicting New TV Series Ratings from their Pilot Episode Scripts

Predicting Ratings for New Movie Releases from Twitter Content

With microblogging platforms such as Twitter generating huge amounts of textual data every day, the possibilities of knowledge discovery through Twitter data becomes increasingly relevant. Similar to the public voting mechanism on websites such as the Internet Movie Database (IMDb) that aggregates movies ratings, Twitter content contains reflections of public opinion about movies. This study ai...

Can Tweets Predict TV Ratings?

We set out to investigate whether TV ratings and mentions of TV programmes on the Twitter social media platform are correlated. If such a correlation exists, Twitter may be used as an alternative source for estimating viewer popularity. Moreover, the Twitter-based rating estimates may be generated during the programme, or even before. We count the occurrences of programme-specific hashtags in a...

Predicting Product Ratings From Review Text

When users purchase items, they leave feedback in the form of ratings or text reviews. It would be helpful to be able to predict product ratings from features extracted from review text to discover potential relationships between the two. In this assignment, we extract features from text reviews and then use regression and topic models to predict users’ product ratings.

Simply Predicting Wine Review Ratings

Predicting Yelp Ratings From Business and User Characteristics

With online evaluation systems, people have a new way of making an informed decision. Ebay, Amazon, Stack Overflow, and Yelp are all examples of online systems where users submit their evaluation of a particular item whether it be another user, a product, etc [1]. These networks allow a user to submit their opinion to be read and evaluated by other users in the network. These crowd-sourced revi...