A Collective Study for Document Recommendation Using Textual Conversation Keywords

Abstract

Keyword Extraction is an important technique in many areas of document processing such as text clustering, text summarization, and text retrieval. Keywords are viewed as the words that represent the topic and the content of the word. This paper addresses, the new technique for keyword extraction from conversations fragment, which can be recommended to the participants to fulfill their information needs without distracting them. A short conversation fragment contains lots of words which can be related to several topics, so keywords are the index terms that contain most important information. In this paper, a survey of keyword extraction technique have been presented that can be applied to extract the keyword that uniquely identified the documents.