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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM36466
Volume:
8 |
7 |
Jul 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Extracting Keyphrase from the large corpus manually is a tedious task. To overcome this challenging task Automatic Keyphrase Extraction (AKPE) techniques have been used for Keyphrase extraction. Keyphrase extraction is the task of automatically selecting a small set of phrases that best describe a given free text document. Keyphrase constitutes a succinct conceptual summary of a document, which is very useful in digital information management systems for semantic indexing, faceted search, document clustering, and classification. This paper contains a brief description of automatic Keyphrase extraction techniques which consist of various algorithms and also a comparative study on automotive Keyphrase extraction techniques such as KEA, TF-IFD, RAKE, TextRank.
KEYWORDS
Publication Date
7/14/2024
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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