期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2015
卷号：4
期号：4
页码：1122-1130
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Big Data analysis is a current research trend in computer science field. It is used for reputation evaluation based on customer reviews of any kind of product and applications. Opinion mining also known as sentiment analysis is one of the most important part of this research area. Big Data is a new term used to identify the datasets that due to their large size, we cannot manage them with the typical data mining software tools. This data is in the order of magnitude of petabytes. It can be found easily on web, Social media, remote sensing data and medical records in the form of customer reviews etc., it may be structured, semi-structured or unstructured data and we can use this big data for opinion mining. This paper describes the methods used for reputation evaluation on big unstructured data, it also focuses oncombination of different classifiers techniques to overcome the challenges and incrementally enhance the granularity of opinion capturing.
关键词：Big Data; opinion mining; sentiment analysis; Data mining; Machine learning
