State of Art for Semantic Analysis of Natural Language Processing

Dastan Hussen Maulud; Subhi R. M.  Zeebaree; Karwan  Jacksi; Mohammed A. Mohammed Sadeeq; Karzan  Hussein Sharif

doi:10.48161/qaj.v1n2a44

Authors

Dastan Hussen Maulud IT Dept., Duhok Polytechnic University, Duhok, Iraq
Subhi R. M. Zeebaree Culture Center, Duhok Polytechnic University, Duhok, Iraq
Karwan Jacksi Department of Computer Science, University of Zakho, Duhok, Iraq
Mohammed A. Mohammed Sadeeq Quality Assurance, Duhok Polytechnic University, Duhok, Iraq
Karzan Hussein Sharif Department of Computer Science, University of Human Development, Sulaimani, Iraq

DOI:

https://doi.org/10.48161/qaj.v1n2a44

Keywords:

Semantic Analysis, Natural Language Processing NLP, Ontology

Abstract

Semantic analysis is an essential feature of the NLP approach. It indicates, in the appropriate format, the context of a sentence or paragraph. Semantics is about language significance study. The vocabulary used conveys the importance of the subject because of the interrelationship between linguistic classes. In this article, semantic interpretation is carried out in the area of Natural Language Processing. The findings suggest that the best-achieved accuracy of checked papers and those who relied on the Sentiment Analysis approach and the prediction error is minimal.

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