Sentiment Analysis on User Reviews Through Lexicon and Rule-Based Approach
Computers need data and humans need information.The process of converting data into useful information needs analysis to be done onto it.Reviews of customers are valuable as they are an important source of data for multiple purposes.However,these feedbacks are subjective,so extraction of information is not an easy task.This paper presents a different method of sentiment analysis research on reviews.The main focus is the data mining from multiple trustworthy sites and categorization of this data.The results are efficient and better than available multiple approaches.The paper concludes with recommendations and future work for giving a new direction to ontology-based opinion mining.
Sentiment analysis Opinion mining Reviews Feedback Comments Marketing Social media Subjective data Ontology Natural language processing
Sobh Zeb Usman Qamar Faiza Hussain
Department of Computer Engineering,College of Electrical and Mechanical Engineering,National University of Sciences and Technology(NUST),Islamabad,Pakistan
国际会议
International Asia-Pacific Web Conference(第18届国际亚太互联网大会)
苏州
英文
55-63
2016-09-23（万方平台首次上网日期，不代表论文的发表时间）