Sentiment Analysis on Twitter Data using KNN and SVM
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 6
Abstract
Millions of users share opinions on various topics using micro-blogging every day. Twitter is a very popular micro-blogging site where users are allowed a limit of 140 characters; this kind of restriction makes the users be concise as well as expressive at the same time. For that reason, it becomes a rich source for sentiment analysis and belief mining. The aim of this paper is to develop such a functional classifier which can correctly and automatically classify the sentiment of an unknown tweet. In our work, we propose techniques to classify the sentiment label accurately. We introduce two methods: one of the methods is known as sentiment classification algorithm (SCA) based on k-nearest neighbor (KNN) and the other one is based on support vector machine (SVM). We also evaluate their performance based on real tweets.
Authors and Affiliations
Mohammad Rezwanul Huq, Ahmad Ali, Anika Rahman
Keywords
Related Articles
- EP ID EP259515
- DOI 10.14569/IJACSA.2017.080603
- Views 86
- Downloads 0
Resources Management of Mobile Network IEEE 802.16e WiMAX
The evolution of the world of telecommunications towards the mobile multimedia following the technological advances has demonstrated that to provide access to the network is no longer sufficient. The need for users is to...
Knowledge discovery from database using an integration of clustering and classification
Clustering and classification are two important techniques of data mining. Classification is a supervised learning problem of assigning an object to one of several pre-defined categories based upon the attributes of the...
Comparison and Analysis of Different Software Cost Estimation Methods
Software cost estimation is the process of predicting the effort required to develop a software system. The basic input for the software cost estimation is coding size and set of cost drivers, the output is Effort in ter...
Confidential Deterministic Quantum Communication Using Three Quantum States
A secure quantum deterministic communication protocol is described. The protocol is based on transmission of quantum states from unbiased bases and exploits no entanglement. It is composed form two main components: a qua...
Enhancement of KaPoW Plugin to Defend Against DDoS Attacks
DDoS attack is one of the hardest attacks to detect and mitigate in the computer world. This paper introduces two quantitative models, which use the client puzzling to detect and thwart application DDoS attacks. We simul...