S. Sameen Fatima

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World Wide Web is the store house of abundant information available in various electronic forms. In the past two decades, the increase in the performance of computers in handling large quantity of text data led researchers to focus on reliable and optimal retrieval of information already exist in the huge resources. Though the existing search engines,(More)
Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user and task. When this is done by means of a computer, i.e. automatically, it calls as Automatic Text Summarization. Summarization can be classified into two approaches: extraction and abstraction. Extraction based(More)
The ever-increasing availability of online textual data bases and the development of Internet have necessitated intensive research in the area of automatic text summarization within the Natural Language Processing (NLP) community. Researchers and students constantly face the problem when they work on a research project that, it is almost impossible to read(More)
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