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news filtering and summarization on the web ppt


Posted by: rameshsky
Created at: Monday 09th of January 2012 11:41:29 PM
Last Edited Or Replied at :Monday 09th of January 2012 11:41:29 PM
news summarization project , news summarization ppt, news filtering and summarization on the web , report for news filtering and summarization on the web, summarizing and filtering ppt , filtering of news ppt, news filtering and summarization on the web ppt ,
i want ppt for the topi..................[:=> Show Contents <=:]



application projects in java and vbnet titles and topics


Posted by: project topics
Created at: Saturday 17th of December 2011 08:40:31 AM
Last Edited Or Replied at :Wednesday 28th of November 2012 01:41:39 AM
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2. Information Extraction from Web pages
3. Implementation of Autonomous Pricing Mechanism in Grid Computing
4. Personalized ServiceOriented ELearning Environments
5. Learning and Predicting the Evolution of Social Networks
6. Estimation methods for software project management
7. Automated Web Site Evaluation Based on Ranking
8. Web Applications Using Dynamic Test Generation and ExplicitState Model Checking
9. Suggesting TopicBased Query Terms as You Type
10. News Filtering and Summarization on the Web
11. Personalized Email Prioritization Based on Content and Social Network Analysis
..................[:=> Show Contents <=:]



Development of an auto-summarization tool


Posted by: computer science crazy
Created at: Tuesday 23rd of August 2011 05:49:34 AM
Last Edited Or Replied at :Tuesday 23rd of August 2011 05:49:34 AM
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the tool. Pre-processing interfaces are there to handle the following document types: Plain Text, HTML, Word Document...................[:=> Show Contents <=:]



TEXT EXTRACTION


Posted by: seminar class
Created at: Monday 07th of March 2011 02:30:54 AM
Last Edited Or Replied at :Monday 07th of March 2011 02:30:54 AM
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ression can cause loss of contrast
between character strokes and the background.
3. CHARACTERISTICS OF TEXT IN VIDEO
In order to have good result in text extraction, it is necessary to deal with the characteristics of text. Most of the time, artificial text in video has the following properties:
- Monochrome: that is to say that text consist of same or similar colors
- Easily readable for human: that is to say that text is distinguishable with
background and maintains a readable size (not too big and not too small)
- Appearing in multiple subsequent frames: th..................[:=> Show Contents <=:]



Text Summarization system


Posted by: seminar presentation
Created at: Friday 28th of May 2010 09:55:45 AM
Last Edited Or Replied at :Friday 28th of May 2010 09:55:45 AM
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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-retrieval, automatic generation of comparison charts,
Just-In-Time knowledge acquisition, finding answers to spec..................[:=> Show Contents <=:]



ppt on Seminar the topic Mining And Summarization of customer reviews


Posted by: bobbypatil
Created at: Tuesday 23rd of February 2010 07:44:16 AM
Last Edited Or Replied at :Tuesday 23rd of February 2010 07:44:16 AM
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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 re..................[:=> Show Contents <=:]



Development of an auto-summarization tool


Posted by: computer science crazy
Created at: Thursday 03rd of September 2009 06:23:09 PM
Last Edited Or Replied at :Thursday 03rd of September 2009 06:23:09 PM
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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 frequency of a particular word etc). Statistical summarizers normally do not use any linguistic information.
In this project, an auto-summarization tool is developed using statistical techniques. The techniques involve finding the..................[:=> Show Contents <=:]



Development of an Auto-Summarization Tool


Posted by: Electrical Fan
Created at: Wednesday 02nd of September 2009 05:58:22 PM
Last Edited Or Replied at :Wednesday 02nd of September 2009 05:58:22 PM
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h-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 frequency of a particular word etc). Statistical summarizers normally do not use any linguistic information. In this project, an auto-summarization tool is developed using statistical techniques. The techniques involve finding the frequency o..................[:=> Show Contents <=:]



Development of an auto-summarization tool


Posted by: mechanical engineering crazy
Created at: Saturday 15th of August 2009 07:43:31 AM
Last Edited Or Replied at :Saturday 26th of March 2011 05:27:42 AM
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r word etc). Statistical summarizers normally do not use any linguistic information.
In this project, an auto-summarization tool is developed using statistical techniques. The techniques involve finding the frequency of words, scoring the sentences, ranking the sentences etc. The summary is obtained by selecting a particular number of sentences (specified by the user) from the top of the list. It operates on a single document (but can be made to work on multiple documents by choosing proper algorithms for integration) and provides a summary of the document. The size of the summary can be spe..................[:=> Show Contents <=:]



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