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A Web Search Engine-Based Approach to Measure Semantic Similarity between Words

The main aim of this A Web Search Engine-Based Approach To Measure Semantic Similarity Between Words .Net Final Year Project is to measure the semantic similarity between words using web search engine technologies like Google, Yahoo, MSN, etc. by using some automatic technologies. By using this web search engine based project we can propose a lexical extraction algorithm to extract semantic relations. This project mainly consists of four major modules  namly Search Results Ranking module, Lexical Extraction Pattern module, Lexical Clustering module, findout Similarity on Semantic words module.

How this Project works:

  • First any user register through this project using registration form.
  • Using metadata option they can search words.
  • Completes the verification  processing using system file.

HARDWARE REQUIREMENTS:

System Processor        :    Pentium 4 Processor
Ram Size        :        2 GB Ram
Hard Disk     Size    :        160 Gb

SOFTWARE REQUIREMENTS:

Software Technologies    :    ASP .Net, C#.Net, HTML, DHTML, Visual Studio 2010, SQL Server 2005
Operating System    :    Windows XP, Vista, Win 7

A Web Search Engine-Based Approach To Measure Semantic Similarity Between Words

Download A Web Search Engine-Based Approach to Measure Semantic Similarity between Words .Net 2011 Project Document, Base Paper, Output Video & Reference Documents.

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12 Replies to “A Web Search Engine-Based Approach to Measure Semantic Similarity between Words”

  3. I want to get this project for my final year project at the earliest.Its kind of very urgent.
    I shall be very grateful for your favour.

    Reply

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