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Research Article Open access CC BY 4.0

Review on Natural Language Processing Based on Different Techniques

Dastan Hussen Maulud, Siddeeq Y. Ameen, Naaman Omar, Shakir Fattah Kak, Zryan Najat Rashid, Hajar Maseeh Yasin, Ibrahim Mahmood Ibrahim, Azar Abid Salih, Nareen O. M. Salim, Dindar Mikaeel Ahmed

Asian Journal of Research in Computer Science · pp. 1–17 · Published 21 Jun 2021

10.9734/ajrcos/2021/v10i130231

Abstract

With the exponential growth of the information on the Internet, there is a high demand for making this information readable and processable by machines. For this purpose, there is a need for the Natural Language Processing (NLP) pipeline. Natural language analysis is a tool used by computers to grasp, perceive, and control human language. This paper discusses various techniques addressed by different researchers on NLP and compares their performance. The comparison among the reviewed researches illustrated that good accuracy levels haved been achieved. Adding to that, the researches that depended on the Sentiment Analysis and ontology methods achieved small prediction error. The syntactic analysis or parsing or syntax analysis is the third stage of the NLP as a conclusion to use NLP technology. This step aims to accurately mean or, from the text, you may state a dictionary meaning. Syntax analysis analyzes the meaning of the text in comparison with the formal grammatical rules.

Natural language processing sentiment analysis ontology topic modeling tokenization named entity recognition.

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