Feature Fusion for Negation Scope Detection in Sentiment Analysis: Comprehensive Analysis over Social Media
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 5
Abstract
Negation control for sentiment analysis is essential and effective decision support system. Negation control include identification of negation cues, scope of negation and their influence within it. Negation can either shift or change the polarity score of opinionated word. This paper present a framework for feature fusion of text feature extraction, negation cue and scope detection technique for enhancing the performance of recent sen-timent classifier for negation control. Explore text feature POS, BOW and HT with negation cue and scope detection techniques for classification technique over social media data set. This paper has included the evaluation of sentiment classification (Support vector machine, Navies Bayes, Linear Regression and Random Forest) and Nine feature fusion over presented prepossessing framework. This paper yield interesting result about collective response of feature fusion for negation scope detection and clas-sification technique. Feature Fusion vector significantly increase the polarity classification accuracy of sentiment classification technique. POS with Grammatical dependency tree can detect negation with better accuracy as compared to other feature fusion.
Authors and Affiliations
Nikhil Kumar Singh, Deepak Singh Tomar
Keywords
Related Articles
- EP ID EP579266
- DOI 10.14569/IJACSA.2019.0100580
- Views 96
- Downloads 0
An Approach to Calculate the Efficiency for an N-Receiver Wireless Power Transfer System
A wireless power transfer system with more than one receiver is a realistic proposition for charging multiple devices such as phones and a tablets. Therefore, it is necessary to consider systems with single transmitters...
Automatic Construction of Java Programs from Functional Program Specifications
This paper presents a novel approach to construct Java programs automatically from the input functional program specifications on natural numbers from the constructive proofs of the input specifications using an inductiv...
A Generic Model for Assessing Multilevel Security-Critical Object-Oriented Programs
The most promising approach for developing secure systems is the one which allows software developers to assess and compare the relative security of their programs based on their designs. Thereby, software metrics provid...
Assessment and Comparison of Fuzzy Based Test Suite Prioritization Method for GUI Based Software
The testing of event driven software has significant role to improve overall quality of software. Due to event driven nature of GUI based software many test cases are generated and it is difficult to identify test cases...
Smart Surveillance System using Background Subtraction Technique in IoT Application
This paper presents a development of a security system based on Internet-of-Things (IoT) technology, where an IoT device, Raspberry Pi has been used. In the developed surveillance system, a camera works as a sensor to de...