Event Detection Over Twitter Social Media

被引：1

作者：

Kanwar, Sartaj ^{[1
]}

Mangal, Nimita ^{[1
]}

Niyogi, Rajdeep ^{[1
]}

机构：

[1] IIT Roorkee, Dept Comp Sci & Engn, Roorkee 247667, Uttar Pradesh, India

来源：

PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND COMMUNICATION | 2017年 / 458卷

关键词：

Twitter; Event detection; Social media;

D O I：

10.1007/978-981-10-2035-3_19

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Twitter is a social networking site that allows a large number of users to communicate with each other. Twitter allows users to share their views on different topics ranging from day to day life to what is going in society. Event detection in twitter is the process of detecting popular events using messages generated by the users. Event detection is difficult in twitter as compared to other media because the message known as tweets is only allowed to be less than 140 characters. Moreover the tweets are noisy because there may be personal messages by the user also. The focus of this paper is to find top k popular events from tweets using keywords contained in the tweets. This paper also classified the popular events into different categories.

引用

页码：177 / 185

页数：9

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