Twitter news classification using SVM

I Dilrukshi, K De Zoysa… - 2013 8th International …, 2013 - ieeexplore.ieee.org
With the development of web blogs, Social Networks, many news providers used to share
their news headlines in various web sites and web blogs. Now-a-days in Sri Lanka, there …

A short message classification algorithm for tweet classification

P Selvaperumal, A Suruliandi - 2014 International Conference …, 2014 - ieeexplore.ieee.org
Twitter users tweet their views in the form of short text messages. Twitter topic classification
is classifying the tweets in to a set of predefined classes. In this work, a new tweet …

Comparative analysis of Twitter data using supervised classifiers

R Joshi, R Tekchandani - 2016 International conference on …, 2016 - ieeexplore.ieee.org
Online Microblogging on social networks have been used for indicating opinions about
certain entity in very short messages. Existing some popular microblogs like Twitter …

Automatic sentiment analysis of Twitter messages

ACES Lima, LN de Castro - 2012 Fourth International …, 2012 - ieeexplore.ieee.org
Twitter® is a microblogging service usually used as an instant communication platform. The
capacity to provide information in real time has stimulated many companies to use this …

Using logistic regression method to classify tweets into the selected topics

ST Indra, L Wikarsa, R Turang - 2016 international conference …, 2016 - ieeexplore.ieee.org
Topics about health, music, sport, and technology are widely discussed in social network
sites, especially in Twitter. Sharing information about those topics can enrich one's …

Twitter sentiment mining: A multi domain analysis

S Shahheidari, H Dong… - … Conference on Complex …, 2013 - ieeexplore.ieee.org
Microblogging such as Twitter provides a rich source of information about products,
personalities, and trends, etc. We proposed a simple methodology for analyzing sentiment of …

Twitter trending topic classification

K Lee, D Palsetia, R Narayanan… - 2011 IEEE 11th …, 2011 - ieeexplore.ieee.org
With the increasing popularity of microblogging sites, we are in the era of information
explosion. As of June 2011, about 200 million tweets are being generated everyday …

Effect of training set size on SVM and Naive Bayes for Twitter sentiment analysis

O Abdelwahab, M Bahgat, CJ Lowrance… - … symposium on signal …, 2015 - ieeexplore.ieee.org
Twitter sentiment analysis has become an effective way in measuring public sentiment about
a certain topic or product. Thus, researchers have worked extensively in recent years to …

A criticism to society (as seen by twitter analytics)

S Cresci, M Petrocchi, A Spognardi… - 2014 IEEE 34th …, 2014 - ieeexplore.ieee.org
Analytic tools are beginning to be largely employed, given their ability to rank, eg, the
visibility of social media users. Visibility that, in turns, can have a monetary value, since …

Twitter sentiment analysis using multi-class SVM

K Lavanya, C Deisy - 2017 International conference on …, 2017 - ieeexplore.ieee.org
Sentiment Analysis or Opinion Mining is a field which is used to study the user's opinions
towards a product or an organization or a person. Twitter, a micro-blogging service allows …