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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
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i want ppt ..................[:=> 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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mmarization on the Web
11. Personalized Email Prioritization Based on Content and Social Network Analysis
12. Data Preprocessing Based on Usage Logs for Efficient Web User Profiling at Client Side
13. Personalizing Web Community Directories Based on Web Usage Data
14. Highquality Query Relaxation Solution on the Deep Web
15. Contextdependent workspace awareness in an ecollaboration environment
16. Query oriented concept based Profile from Search Engine
17. Rule Base Coordination of Distributed Web Service
18. A Framework for Exception Handling in ContextAware Applications
19. Effectiv..................[:=> 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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e 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 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 doc..................[:=> 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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dia data are also getting bigger than before. In order to extract and search important information from a huge amount of video data, we need to extract text from video. Text is obviously an important element in video. So extracting text appears as a key clue for understanding contents of video and for instance for classifying automatically some videos. Videotext detection and recognition has been identified as one of the key components for the video retrieval and analysis system. Videotext detection and recognition can be used in many applications, such as semantic video indexing, summarizatio..................[:=> 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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ical profiling, to name a few...................[:=> 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

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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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king the tool. Pre-processing interfaces are there to handle the following document types: Plain Text, HTML, Word Document.

http://www.seminarprojects.net/downloads/?path=/Project%20Reports/computer_Science-information_Techn ology/project%20list3..................[:=> 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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he tool. Pre-processing interfaces are there to handle the following document types: Plain Text, HTML, Word Document...................[:=> 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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hat 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 of words, scoring the sentences, ranking the sentenc..................[:=> Show Contents <=:]



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