Abstract
This conceptual paper discusses sentiment analysis as a technique of research. It is a tool support decision for textual data collection and analysis available on the internet. It is also considered as a technique of data mining. It uses machine learning language to evaluate textual content. As a method of research, it is computational by nature and identify and categories opinions in the form of text. It targets a large data without any delay and hurdle and also facilitates the collection of data and its analysis. It helps domain leaders to collect real time data about emotions, opinion and attitude, without compromising, validity, reliability and generalizability. The paper also presents this as a way to divide quantitative and qualitative data through real time innovative ways of collection and analysis of data. The paper also discusses limitations one experience when applying this in their domain of research.
Highlights
Sentiment analysis, known opinion mining, is the area of study that evaluates sentiment, opinion, attitude, analysis, appraisal and emotions of people for different services, products, organisations, individual, events and their respective features.Sentiment analysis as a term appeared first in (Nasukawa and Yi, 2003), and opinion mining appeared first in (Dave, Lawrence and Pennock, 2003)
There is another aspect of sentiment analysis in data mining, which basically focuses on the operations of the technique as a sub-field of computational linguistics”
The present paper discusses sentiment Analysis as a technique of decision making, which is relatively new in the context of research
Summary
Known opinion mining, is the area of study that evaluates sentiment, opinion, attitude, analysis, appraisal and emotions of people for different services, products, organisations, individual, events and their respective features. It targets to determine positive, negative or neutral human feelings or opinions towards a product, service or information available This is useful widely on Social networking sites like; Facebook, Twitter, Myspace & WhatsApp-Groups etc., and allows to gain a wider opinion of public for certain topics. This makes the decision making process faster and simpler than earlier due to the availability of real time situations such as people opinion and emotions, etc. Before going to discuss further one should understand first the actual meaning of Sentiment Analysis
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