Review on Natural Language Processing (NLP) and Its Toolkits for Opinion Mining and Sentiment Analysis

• Published in: 2018 IEEE 5th International Conference on Engineering Technologies and Applied Sciences (ICETAS) pp. 1 - 4
• Main Authors: Solangi, Yasir Ali, Solangi, Zulfiqar Ali, Aarain, Samreen, Abro, Amna, Mallah, Ghulam Ali, Shah, Asadullah
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-11-2018
• Subjects: Data mining; Labeling; natural language processing; NLP; Opinion mining; Semantics; Sentiment analysis; Tokenization; toolkits
• DOI: 10.1109/ICETAS.2018.8629198

As the majority of online networking on the Internet, opinion mining has turned into a fundamental way to deal with investigating such huge numbers of information. Different applications show up in an extensive variety of modern areas. In the interim, opinions have various pronunciations which bring along investigate challenges. The research challenges make opinion mining a dynamic research region recently. In this paper, Natural Language Processing (NLP) techniques for opinion mining and sentiment analysis are reviewed. Initially NLP is reviewed then briefed about its common and useful preprocessing steps also. In this paper opinion mining for various levels are analyzed and reviewed. At the end issues are identified and some recommendation are suggested for opinion mining and-sentiment-analysis.