from book MaNER: A MedicAl Named Entity Recogniser
shirt Black Festival clothing Black man shirt Women shirt Punk shirt Rainbow Punk tshirt Burning t rock shirt vvOn65Hr
The problem of classifying sentences into various categories, arises frequently in text mining applications. One of the most important categorization of sentences observed in product reviews, movie reviews, blogs, customer feedbacks is-Suggestions, Appreciations and Complaints. We observed that the document classification techniques do not perform well for these three non-topical sentence classes. We propose to solve this problem using a supervised approach based on Dependency-based Word Subsequence Kernel and its variations. We compare the performance of our approach with the state-of-the-art short text classification techniques on 2 different datasets-Performance Appraisal comments and Product Reviews.
clothing tshirt Black Festival shirt t shirt man rock Punk Punk Black shirt shirt Burning Women Rainbow shirt Discover the world's research
- 15+ million members
- 118+ million publications
- 700k+ research projects