Twitter Sentiment Classification on Sanders Data using HybridApproach
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 4
Abstract
Abstract : Sentiment analysis is very perplexing and massive issue in the field of social data mining. Twitter isone of the mostly used social media where people discuss on various issues in a dense way. The tweets about aparticular topic give peoples’ views, opinions, orientations, inclinations about that topic. In this work, we haveused pre-labeled (with positive, negative and neutral opinion) tweets on particular topics for sentimentclassification. Opinion score of each tweet is calculated using feature vectors. These opinion score is used toclassify the tweets into positive, negative and neutral classes. Then using various machine learning classifiersthe accuracy of predicted classification with respect to actual classification is being calculated and comparedusing supervised learning model. Along with building a sentiment classification model, analysis of tweets is being carried out by visualizing the wordcloud of tweets using R.
Authors and Affiliations
Kishori K. Pawar , R. R. Deshmukh
Keywords
Related Articles
- EP ID EP89676
- DOI -
- Views 103
- Downloads 0
Migrate and Map: A Framework to Access Data from Mysql, Mongodb or Hbase Using Mysql Queries
Abstract: Due to ever-increasing amount of data, scalability factor of the databases becomes a major constraint. Moreover, traditional relational databases fix the user’s perspective to view data in tabular format. Paral...
Pose Estimation in AVI from Unknown Correspondences Using Genetic Algorithm
Abstract: In this paper we propose a model based approach to determine correspondences and pose of objects in automated visual inspection applications. The method does not consider correspondence and pose estimation prob...
Hiding the Data into Meaningful Encrypted Image Using Reversible Data Hiding Technique
Data hacking is one of the challenging problems in Internet world. It is possible to greatly improve our understanding and also should provide security to network data. The most existing encryption algorithms desig...
The Prospects & Problems Of Information Technology In The Banking Industry In Nigeria
Abstract: This study looks into prospects and issues of data technology within the Nigeria banking industry. Data technology has been acknowledged as a life wire of banks within the monetary sector because it promo...
Big Data in Bioinformatics & the Era of Cloud Computing
With the recent breakthrough in bioinformatics, demand of more storage space is increasing day by day. With this exponentially increasing data i.e. the big data of bioinformatics sector, the data needs to be hand...