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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM27133
Volume:
7 |
11 |
Nov 2023
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.
This research paper provides a comprehensive review of semantic analysis in the field of Natural Language Processing (NLP). Semantic analysis plays a crucial role in enabling machines to understand the meaning and context of human language. This paper examines various approaches and techniques employed in semantic analysis and highlights their strengths and limitations. It also discusses the applications and challenges associated with semantic analysis in NLP. Through this review, we aim to provide researchers and practitioners with a better understanding of the current state-of-the-art in semantic analysis and identify potential avenues for future research.
KEYWORDS
Publication Date
11/29/2023
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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