State of Art for Semantic Analysis of Natural Language Processing
Dastan Hussen Maulud, Subhi R. M. Zeebaree, Karwan Jacksi, Mohammed A. M. Sadeeq, Karzan Hussein Sharif
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.
Topics & Concepts
ParagraphNatural language processingComputer scienceArtificial intelligenceSemantics (computer science)SentenceContext (archaeology)Semantic interpretationVocabularyNatural languageSemantic role labelingInterpretation (philosophy)LinguisticsFeature (linguistics)Semantic analysis (machine learning)Semantic compressionSemantic computingSemantic technologyProgramming languageSemantic WebBiologyWorld Wide WebPaleontologyPhilosophyTopic ModelingSentiment Analysis and Opinion MiningAdvanced Text Analysis Techniques