Establishing News Credibility using Sentiment Analysis on Twitter
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 9
Abstract
The widespread use of Internet has resulted in a massive number of websites, blogs and forums. People can easily discuss with each other about different topics and products, and can leave reviews to help out others. This automatically leads to a necessity of having a system that may automatically extract opinions from those comments or reviews to perform a strong analysis. So, it may help out businesses to know the opinions of people about their products/services so they can make further improvements. Sentiment Analysis or Opinion Mining is the system that intelligently performs classification of sentiments by extracting those opinions or sentiments from the given text (or comments or reviews). This paper presents a thorough research work carried out on tweets’ sentiment analysis. An area-specific analysis is done to determine the polarity of extracted tweets for make an automatic classification that what recent news people have liked or disliked. The research is further extended to perform retweet analysis to describe the re-distribution of reactions on a specific twitter post (or tweet).
Authors and Affiliations
Zareen Sharf, Zakia Jalil, Wajiha Amir, Nudrat Siddiqui
Keywords
Related Articles
- EP ID EP645821
- DOI 10.14569/IJACSA.2019.0100927
- Views 121
- Downloads 0
Modification of CFCM in The Presence of Heavy AWGN for Bayesian Blind Channel Equalizer
In this paper, the modification of conditional Fuzzy C-Means (CFCM) aimed at estimation of unknown desired channel states is accomplished for Bayesian blind channel equalizer under the presence of heavy additive Gaussian...
Component Localization in Face Alignment
- Face alignment is a significant problem in the processing of face image, and Active Shape Model (ASM) is a popular technology for this problem. However, the initiation of the alignment strongly affects the perfor...
The Effect of Music on Shoppers’ Shopping Behaviour in Virtual Reality Retail Stores: Mediation Analysis
The aim of this study is to investigate the effect of music, as an atmospheric cue of 3D virtual reality retail (VRR) stores, on shoppers’ emotions and behaviour. To complete this research, a major empirical study was co...
Automated Simulation P2P Botnets Signature Detection by Rule-based Approach
Internet is a most salient services in communication. Thus, companies take this opportunity by putting critical resources online for effective business organization. This has given rise to activities of cyber criminals a...
Multi-Valued Autoencoders and Classification of Large-Scale Multi-Class Problem
Two-layered neural networks are well known as autoencoders (AEs) in order to reduce the dimensionality of data. AEs are successfully employed as pre-trained layers of neural networks for classification tasks. Most of the...