G.Venkatesh Prabhu's Profile
G.Venkatesh Prabhu's Experience
| Current : |
Research Scientist in Text and Data Mining, Checktronix |
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| IT Products | ||
Working from 2004 | ||
| Previous : |
Checktronix Private Limited |
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| India | ||
Worked from 2004 to 2011 | ||
Brief summary :
Title : Applied Research Scientist Employer : Checktronix India Private Limited Duration : November 2004 - till date Responsibilities include providing solutions for the given problem definition and conceptual designing, Architectural design, Application algorithm design, Prototype generation, Model building and Model validation and further assistance in the model testing and maintenance process. Title : | ||
| Previous : |
Teaching Associate, SRM Institute of Science and Technology |
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Worked from 2003 to 2004 | ||
Brief summary :
Teaching Associate Employer : SRM Institute of Science and Technology Duration : December 2003 - April 2004 Duties include handling regular classes, Lab sessions and other managerial works of the department like organizing conference and presentations. PROJECTS Rule based Information Extraction from Text Documents. Ontology based Retrieval: Phase-I - Job ontology creation. Corpus De-Duplication System. Industry Specific Matching Models and Functional Classification of Resumes. Language Classifier. Training Set Extraction. Document Scoring Engine Design. Keyword Relevancy system design. Automatic Keyword Clustering. Projects Guided Automatic Plagiarism Detector. Bayesian Text classifier. Topic model based text classifier. Rule based Expert system development. Gene Expression Analysis. Product Catalogue Search Engine. Recommender Systems. | ||
G.Venkatesh Prabhu's Education
Anna University |
|
| M.E/M.Tech/MS | |
| India | |
| From 2002 to 2004 | |
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G.Venkatesh's communities
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35952 members, 590 jobs, 1219 articles, 574 questions, 1505 debates, 422 idea contests.
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22054 members, 610 jobs, 812 articles, 392 questions, 599 debates, 256 idea contests.
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457 members, 19 jobs, 31 articles, 13 questions, 10 debates, 3 idea contests.
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G.Venkatesh's
contributions
The problem of Text categorization can be described as the classifications of documents into multiple categories. We have a set of n categories {C1, C2, C3,….Cn} to which we assign m documents {D1, D2, Dm}. The n categories are predefined with... |
Yes Mr.Radhakrishna. I am doing my research in Resume and Posting Parsing and Matching.. I could understand the real challenge in this industry. thanks for your comments. |
Online recruitment is a huge industry. The cost of recruiting online is a fraction that to hire employees through the traditional methods (such advertising in magazines or news papers and registering job vacancies with employment agencies). The... |
Collectively you can call it as Text Mining. |
Text Mining is more recent, and uses techniques primarily developed in the fields of information retrieval, statistics, and machine learning. Its aim typically is not to understand all or even a large part of what a given speaker/writer has said,... |
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