Effective Opinion Words Extraction for Food Reviews Classification

Autor:	Ngoan Thanh Trieu, Hiep Xuan Huynh, Hai Thanh Nguyen, Nguyen Vu Dao, Phuc Quang Tran
Rok vydání:	2020
Předmět:	Service (business) Text mining General Computer Science business.industry Computer science Sentiment analysis Computational linguistics business Data science
Zdroj:	International Journal of Advanced Computer Science and Applications. 11
ISSN:	2156-5570 2158-107X
DOI:	10.14569/ijacsa.2020.0110755
Popis:	Opinion mining (known as sentiment analysis or emotion Artificial Intelligence) holds important roles for e-commerce and benefits to numerous business and organizations. It studies the use of natural language processing, text analysis, computational linguistics, and biometrics to provide us business valuable insights into how people feel about our product brand or service. In this study, we investigate reviews from Amazon Fine Food Reviews dataset including about 500,000 reviews and propose a method to transform reviews into features including Opinion Words which then can be used for reviews classification tasks by machine learning algorithms. From the obtained results, we evaluate useful Opinion Words which can be informative to identify whether the review is positive or negative.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a439d6551dfb7e9bfe3e21b5b02acd73 https://doi.org/10.14569/ijacsa.2020.0110755 Zobrazit plný text záznamu