Sentiment analysis using machine learning for business intelligence
Saumya Chaturvedi, Vimal Kant Mishra, Nitin Kumar Mishra · 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI) · 2017
This paper suggests use of sentiment analysis classification as an effective method for examining textual data coming from variety of resources on internet. Sentiment analysis is a method of data mining that evaluates textual data consuming machine learning techniques. Due to tremendous expanse of opinions of users, their reviews, feedbacks and suggestions available over the web resources, it is so much indispensable to discover, analyze and consolidate their views for enhanced decision making. Sentiment analysis presents an effective and efficient opinion of consumers in real time which can greatly affect the decision making process for business domain. We have seen an increment in level of activity during last ten year period and emphases on exploratory research approaches. We noticed that several procedures are inattentive from the pond of Business Intelligence research. We also recognized potential zones that requisite additional exploration.