Context Based Topical Document Summarization

A condition of information available on the web is getting increased day by day as a result leading to information overload. To find important and useful information is becoming difficult. This growth has created a huge demand for automatic methods and tools for text summarization. In the process of text summarization, text is reduced to meaningful small size. Sentences are extracted to build summary. summary will be effective when there will be more topical terms in it. So to summarize the text or in general for proper information retrieval term weighting schemes is very important. In this paper a review of various term weighting schemes and different summarization techniques is presented. Proposed context score based text summarization model is presented.