Using Objective Words in the Reviews to Improve the Colloquial Arabic Sentiment Analysis

International Journal on Natural Language Computing (IJNLC) Vol. 6, No.3, June 2017

14 Pages Posted: 25 Jun 2020

See all articles by Omar Al-Harbi

Omar Al-Harbi

Jazan University - Department of Computer and Information

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Date Written: 2017

Abstract

Natural Language Processing is a programmed approach to analyze text that is based on both a set of theories and a set of technologies. This forum aims to bring together researchers who have designed and build software that will analyze, understand, and generate languages that humans use naturally to address computers.

Keywords: Phonology, Morphology, Chunking/Shallow Parsing, Parsing/Grammatical Formalisms, Semantic Processing, Lexical Semantics, Ontology, Linguistic Resources, Statistical and Knowledge based methods, POS tagging, Discourse, Paraphrasing/Entailment/Generation, Machine Translation, Information Retrieval, Te

Suggested Citation

Al-Harbi, Omar, Using Objective Words in the Reviews to Improve the Colloquial Arabic Sentiment Analysis (2017). International Journal on Natural Language Computing (IJNLC) Vol. 6, No.3, June 2017, Available at SSRN: https://ssrn.com/abstract=3617516 or http://dx.doi.org/10.2139/ssrn.3617516

Omar Al-Harbi (Contact Author)

Jazan University - Department of Computer and Information

Saudi Arabia

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