Sentiment-Based Data Mining Approach for Classification and Analysis
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 micr
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Abstract 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. Keywords Data mining
Classification Sentiment analysis Twitter analysis
1 Introduction 1.1
Data Mining
Data Mining or knowledge extraction is a method well known for pattern extraction and to make data more understandable. Data mining is a root or basic to many sub category in it like business mining, medical mining, music mining, text mining, etc., and every year something new is add as an improvement over previous methods or as an innovation. With these new techniques Data mining has become important element in many fields and people are using it more with all their historic data to get that extra knowledge.
V. Vashi (&) L.D. Dhinesh Babu SITE, VIT University, Vellore, India e-mail: [email protected] © Springer Science+Business Media Singapore 2016 S.C. Satapathy et al. (eds.), Proceedings of International Conference on ICT for Sustainable Development, Advances in Intelligent Systems and Computing 408, DOI 10.1007/978-981-10-0129-1_61
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1.2
V. Vashi and L.D. Dhinesh Babu
Text Mining
Text mining is one of data mining variation where as input we take unstructured text and try to find some information from it which is more useful then text. There are many research fields in text mining as well like Academic applications, Online media applications, Opinion mining, Sentiment analysis, etc., our focus here will be on Sentiment analysis (Figs. 1 and 2).
1.3
Sentiment Analysis
Sentiment Analysis is a text mining method and it is a study of someone’s sentiments about something like good–bad or positive–negative, etc. People always put sentiment analysis and opinion mining as same but there is difference between and Data Collection Twitter
Data Preprocessing
Data Classification Preprocessed Tweets
Classification Algorithm
Training Data
Classification Result
Scoring Scoring Parameter
Scoring Algorithm
Result
Visualization Bar Chart
Pie Chart
Fig. 1 Sentiment analysis process for tweets as data
Data Driven Document
Sentiment-Based Data Mining Approach …
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Data Collection Twitter
Data Preprocessing
Data Classification Preprocessed Tweets
Sentimental Classification
Sentimental Words Feature Words and
Classification Result
Scoring Parameter Features Service=3 Time=2 Price=1 Sentiments Positive=1 Negative=-1
Bar Chart
Weights
Scoring
Result
Scoring Algorithm
Visualization Pie Chart
Data Driven Document
Fig. 2 Proposed sentiment-based classification and analysis flow
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