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ZENODO
Article . 2011
License: CC BY
Data sources: Datacite
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ZENODO
Article . 2011
License: CC BY
Data sources: ZENODO
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ZENODO
Article . 2011
License: CC BY
Data sources: Datacite
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TEXT ANALYZER

Authors: G. Arumugam;
Abstract

The web has become a resourceful tool for almost all domains today. Search engines prominently use inverted indexing technique to locate the web pages having the users query. The performance of inverted index fundamentally depends upon the searching of keyword in the list maintained by search engine. Text matching is done with the help of string matching algorithm. It is important to any string matching algorithm to locate quickly the occurrences of the user specified pattern in large text. In this paper a new string matching algorithm for keyword searching is proposed. The proposed algorithm relies on new technique based on pattern length and FML (First-Middle-Last) character match. This proposed algorithm is analysed and implemented. The extensive testing and comparisons are done with BoyerMoore, Naïve, Improved Naïve, Horspool and Zhu Takaoka. The result shows that the proposed algorithm takes less time than other existing algorithm.

Keywords

Syntactic IR, Web searching, String matching

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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