Relevance Feature Discovery for Text Mining
Product Description
Relevance Feature Discovery for Text Mining
Abstract— Relevance Feature Discovery for Text Mining. It is a big challenge to guarantee the quality of discovered relevance features in text documents for describing user < Final Year Projects 2016 > preferences because of large scale terms and data patterns. Most existing popular text mining and classification methods have adopted term-based approaches. However, they have all suffered from the problems of polysemy and synonymy. Over the years, there has been often held the hypothesis that pattern-based methods should perform better than term-based ones in describing user preferences; yet, how to effectively use large scale patterns remains a hard problem in text mining. To make a breakthrough in this challenging issue, this paper presents an innovative model for relevance feature discovery.
Video
View Demo
Including Packages
Our Specialization
Support Service
Statistical Report
satisfied customers
3,589
Freelance projects
983
sales on Site
11,021
developers
175+
Additional Information
| Domains | |
|---|---|
| Programming Language |
Would you like to submit yours?
There are no reviews yet