Pivotal Sentiment Tree Classifier
Journal: International Journal of Scientific & Technology Research (Vol.3, No. 11)Publication Date: 2014-11-15
Authors : Vijayan Nagarajan; Punitha Chandrasekar;
Page : 290-295
Keywords : Index Terms Sentiment Analysis; Opinion Mining; Expective Sentiment; Social Media Analytics; Text Analytics; Brand Specific Analysis; Natural Language Processing.;
Abstract
Abstract Sentiment Analysis also known as Opinion Mining plays a vital role in social media analytics call center data etc. There are many existing algorithms and methods to approachSentiment Analysis. Though these algorithms produce reasonable results they fail to give near optimal close to 100 results. This paper aims to obtain maximum accuracy in Sentiment Analysis in-comparisonwiththe other existing algorithms and approaches.We devised a new algorithm called Sentiment pivotal tree to achieveresults with maximum accuracy by taking into account on few key factors like identifying the expectations of the customers along with the inclusion of neutral words for analysis.In order to attribute the above factor we introduce a new term called Expectivealong with the existing termsPositive NegativeandNeutral.
Other Latest Articles
- Morphological Variation Of The Tanzanian Tailed Net-Winged Beetle Lycus Trabeatus Gurin-Mneville Coleoptera Lycidae Connotes Subspecific Delimitation
- Designing Campaign Message Through The Main Visual Elements In Character Animation
- Virulence Factors Of Uropathogenic Proteus Mirabilis - A Mini Review
- Parametric Models Of The Third Degree For Output Parameters Of A CuBr Laser
- Crank-Nicholson -Lax-Friedrichs Finite Difference Schemes Arising From Operator Splitting For Solving 2-Dimensional Heat Equation
Last modified: 2015-06-28 04:03:31