Using Semi-supervised learning for Topic Mining of Tweets
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Failed to load latest commit information.

Label Propagation for Topic Mining

For details refer to report.pdf

Microblogging has become a trend,thus many users are using such platforms to share their opin- ions.Mining these opinions can reveal valuable in- formation to companies, such as what features to develop in their products or marketing strate- gies.However there are major drawbacks when min- ing tweets, first their length do not provide enough word occurrences so traditional bag-of-words meth- ods have limitations, second they are extremely noisy and third annotated data is limited and costly to get.
In this paper we address the problem of classify- ing short product reviews by using semisupervised learning. A comparison among two semisupervised methods and a supervised method is given. Finally we propose different ways to improve the given re- sults by injecting knowledge into the semisuper- vised mode