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Title: auto text summarization source code in java
Page Link: auto text summarization source code in java -
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Created at: Tuesday 25th of November 2014 02:44:40 AM
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Title: complete documentation for auto summarization tool
Page Link: complete documentation for auto summarization tool -
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Created at: Monday 01st of October 2012 02:30:37 AM
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Title: Development of an auto-summarization tool
Page Link: Development of an auto-summarization tool -
Posted By: computer science crazy
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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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Title: Banking terms you must know and how to use them
Page Link: Banking terms you must know and how to use them -
Posted By: seminar details
Created at: Tuesday 05th of June 2012 08:17:03 PM
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Banking terms you must know and how to use them



MICR: Magnetic ink char acter recognition

What is it: MICR code (pronounced my-ker) is a nine-digit number printed on banking instruments such as a cheque or a demand draft using a special type of ink made of magnetic material. The first three digits denote the city. The fourth to sixth digits denote the bank, while the last three digits denote the branch number. The code is read by a machine, minimizing the ....etc

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Title: Development of an Auto-Summarization Tool
Page Link: Development of an Auto-Summarization Tool -
Posted By: Electrical Fan
Created at: Thursday 03rd of September 2009 06:58:22 AM
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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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Title: Planning The Sales Call Is A Must
Page Link: Planning The Sales Call Is A Must -
Posted By: seminar class
Created at: Thursday 10th of March 2011 12:11:37 PM
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The Consultative Selling—Customer Relationship Model
Steps in the Preapproach: Planning the Sale
information Used in Profile and Planning
Customer Profile and Planning Sheet

1. Name:
Address:
2. Type of business:
Name of buyer:
3. People who influence buying decision or aid in using or selling our product:
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Title: auto text summarization source code in java
Page Link: auto text summarization source code in java -
Posted By:
Created at: Thursday 13th of November 2014 04:19:53 AM
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Title: Development of an auto-summarization tool
Page Link: Development of an auto-summarization tool -
Posted By: mechanical engineering crazy
Created at: Saturday 15th of August 2009 08:43:31 PM
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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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Title: Development of an auto-summarization tool
Page Link: Development of an auto-summarization tool -
Posted By: computer science crazy
Created at: Tuesday 23rd of August 2011 06:49:34 PM
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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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