Header menu link for other important links
Sentiment-Based Data Mining Approach for Classification and Analysis
Published in Springer Singapore
Volume: 408
Pages: 581 - 595
Traditionally, individuals gather feedback from their friends or relatives before purchasing an item but today the trend is to identify the opinions of a variety of individuals around the globe using micro blogging data and twitter is such one famous micro blogger where user expresses their view in form of tweets. In this project, we have provided a data mining approach based on how nowadays user provides their view in tweets. This approach basically is around sentiment expressed in tweets to classify them into set of feature and also to analyze tweet to compare service or product-based organization. © Springer Science+Business Media Singapore 2016.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing Proceedings of International Conference on ICT for Sustainable Development
PublisherData powered by TypesetSpringer Singapore
Open AccessNo