Considerable Issues to detect Topical-Relevance Upon Free Texts

Journal Title: International Journal on Computer Science and Engineering - Year 2010, Vol 2, Issue 7

Abstract

Topical Relevance has always been an equivocal concept in IR evaluations upon text documents. Text Miners have been well engaged in unfolding various strategies in finding, how well the core content is expressed in a document and till what extent, the correlated topic gives out the semantic closeness xhibiting subject specificity. These directly and indirectly searched correlated term-associations initiated from the target terms, terminate in finite page vicinities of topical relevance. With this idea into the minds, the page-filtering technique emerges out as a logical approach to outline the degree of content overage. These results can be further compared with more than one test documents to rank them in order of topical relevance.

Authors and Affiliations

Arpana Rawal , M K Kowar, , Sanjay Sharma , H R Sharma

Keywords

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  • EP ID EP155319
  • DOI -
  • Views 113
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How To Cite

Arpana Rawal, M K Kowar, , Sanjay Sharma, H R Sharma (2010). Considerable Issues to detect Topical-Relevance Upon Free Texts. International Journal on Computer Science and Engineering, 2(7), 2498-2501. https://europub.co.uk/articles/-A-155319