2016•International Journal of Computer ApplicationsOpen access

Review on Text Mining Algorithms

Shivani Sharma, Saurabh Kr.

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Abstract

Nowadays twitter microblog has become very popular in the conversation practice and in spreading awareness about various issues among the people.People share their short messages / tweets among their private / public social network.These messages are valuable for the number of tasks to identify hidden knowledge patterns from the discussions.Many research have been conducted on text classification.Text classification uses terms as features which can be grouped to vote for belongingness of a class.Text classification can be carried on twitter data and various machine learning algorithms can be used for feature based performance evaluation.In this context we have reviewed few papers taken from various sources like IEEE Xplore, ACM, Elsevier etc.

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What this paper is about

Nowadays twitter microblog has become very popular in the conversation practice and in spreading awareness about various issues among the people.People share their short messages / tweets among their private / public social network.These messages are valuable for the number of tasks to identify hidden knowledge patterns from the discussions.Many research have been conducted on text classification.Text classification uses terms as features which can be grouped to vote for belongingness of a class.Text classification can be carried on twitter data and various machine learning algorithms can be used for feature based performance evaluation.In this context we have reviewed few papers taken from various sources like IEEE Xplore, ACM, Elsevier etc.

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Available abstract

Nowadays twitter microblog has become very popular in the conversation practice and in spreading awareness about various issues among the people.People share their short messages / tweets among their private / public social network.These messages are valuable for the number of tasks to identify hidden knowledge patterns from the discussions.Many research have been conducted on text classification.Text classification uses terms as features which can be grouped to vote for belongingness of a class.Text classification can be carried on twitter data and various machine learning algorithms can be used for feature based performance evaluation.In this context we have reviewed few papers taken from various sources like IEEE Xplore, ACM, Elsevier etc.

Key concepts: Computer science, Data science, Data mining, Information retrieval

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