Auto-summarization Tool

Auto-summarization is a technique used to generate summaries of electronic documents. This has some applications like summarizing the search-engine results, providing briefs of big documents that do not have an abstract etc. There are two categories of summarizers, linguistic and statistical. Linguistic summarizers use knowledge about the languange (syntax/semantics/usage etc) to summarize a document. Statistical ones operate by find ....etc

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i want ppt for the topic ....etc

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The Internet has come to be of much use primarily because of the
support given by Information Retrieval (IR) tools. However with
the exponential growth of the information on the Internet, a second
level of abstraction of information from the results of the first
round of IR becomes necessary. That is, the large number of
documents returned by IR system need to be summarized.
Currently this is the primary application of summarization. The
many other uses of summarization are almost obvious: Information
extraction, as against document-ret ....etc

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Development of an auto-summarization tool


Auto-summarization is a technique used to generate summaries of electronic documents. This has some applications like summarizing the search-engine results, providing briefs of big documents that do not have an abstract etc. There are two categories of summarizers, linguistic and statistical. Linguistic summarizers use knowledge about the languange (syntax/semantics/usage etc) to summarize a document. Statistic ....etc

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plz kindly send me all documentation regarding auto text summarization tool ....etc

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Development of an auto-summarization tool

Project Description
Auto-summarization is a technique used to generate summaries of electronic documents. This has some applications like summarizing the search-engine results, providing briefs of big documents that do not have an abstract etc. There are two categories of summarizers, linguistic and statistical. Linguistic summarizers use knowledge about the languange (syntax/semantics/usage etc) to summarize a document. Statistical ones operate by finding the important sentences using stati ....etc

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hello

This is bobby Patil here.,student of engineering in final sem..Please send me d ppt on the seminat topic which is mining and summarization of customer reviews to my email id i.e [email protected] ....etc

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plz send d matlab code for video segmentation and summarization using genetic algorithm
thanx ....etc

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Abstract—A topic is defined as a seminal event or activity along with all directly related events and activities. It is represented by a chronological sequence of documents published by different authors on the Internet. In this study, we define a task called topic anatomy, which summarizes and associates the core parts of a topic temporally so that readers can understand the content easily. The proposed topic anatomy model, called TSCAN, derives the major themes of a topic from the eigenvectors of a temporal block association matrix. Then, t ....etc

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Development of an auto-summarization tool


Auto-summarization is a technique used to generate summaries of electronic documents. This has some applications like summarizing the search-engine results, providing briefs of big documents that do not have an abstract etc. There are two categories of summarizers, linguistic and statistical. Linguistic summarizers use knowledge about the languange (syntax/semantics/usage etc) to summarize a document. Statistical ones operate by finding the important sentences using statistical methods (like freq ....etc

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