期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：9
页码：16288
DOI：10.15680/IJIRSET.2016.0509102
出版社：S&S Publications
摘要：Data analysis is the biggest challenging issue in the world expressly huge volume of data. The rapidfruition of big data is becoming a problem and to solving it is another big issue in the industry. Exclusively, SocialMedia Networks (SMN) are generating a massive tome of data which contains structured, semi-structured andunstructured data. In this era, these data are having audio, video, text, numbers, hashtag and URLs. Consequently, thedata need to be extracted and analysed from the variety regarding big data. Big data consists of different analyses, thispaper focuses on Sentiment Analysis. To perform Sentiment Analysis, the concepts of approaches, techniques, modelsand features have been proposed. To solve the text and web based issues in big data the sentiment analysis (SA) isuseful. Therefore, the concepts of the SA and Hadoop ecosystems are explored in the paper.
