Text Mining at Feature Level: A Review

Text Mining is the technique that helps users to find out useful information from a large amount of text documents on the web or database. Most popular text mining and classification methods have adopted term-based approaches. The term based approaches and the pattern-based method describing user preferences. This review paper analyse how the text mining work on the three level i.e sentence level, document level and feature level. In this paper we review the related work which is previously done. This paper also demonstrated that what are the problems arise while doing text mining done at the feature level. This paper presents the technique to text mining for the compound sentences.