A short message classification algorithm for tweet classification

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 classification Method that makes use of tweet features like URL's in the tweet, retweeted tweets and influentia...

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Bibliographic Details
Published in2014 International Conference on Recent Trends in Information Technology pp. 1 - 3
Main Authors Selvaperumal, P., Suruliandi, A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2014
Subjects
Classification algorithms
Education
Machine Learning
Machine learning algorithms
Support vector machines
Text categorization
Tweet classification
Twitter
Web Mining
Online AccessGet full text
DOI10.1109/ICRTIT.2014.6996189

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Summary: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 classification Method that makes use of tweet features like URL's in the tweet, retweeted tweets and influential users tweet is proposed. Experiments were carried out with extensive tweet data set. The performance of the proposed algorithm in classifying the tweets was compared with the text classification algorithms like SVM, Naïve Bayes, KNN etc. It is observed that the proposed method outclasses the conventional text classification algorithms in classifying the tweets.
DOI:10.1109/ICRTIT.2014.6996189