Text is a pervasive information type, and many applications require querying over text sources in addition to structured data. This paper studies the problem of query processing i...
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
Theme network is a semantic network of document specific themes. So far Natural Language Processing (NLP) research patronized much of topic based summarizer system, unable to captu...
In this paper the development of an opinion summarization system that works on Bengali News corpus has been described. The system identifies the sentiment information in each docu...
Typically, searching for information in a document collection amounts to refining a query and then scanning a large number of documents to determine their relevance. Active Summar...