Demographics Analysis of Twitter Users who Tweeted on Psychological Articles and Tweets Analysis

被引：6

作者：

Udayakumar, Sajeev ^{[1
]}

Senadeera, Damith Chamalke ^{[1
]}

Yamunarani, Selvaraj ^{[1
]}

Cheon, Na Jin ^{[1
]}

机构：

[1] Nanyang Technol Univ, 50 Nanyang Ave, Singapore 639798, Singapore

来源：

INNS CONFERENCE ON BIG DATA AND DEEP LEARNING | 2018年 / 144卷

关键词：

Psychology; Twitter; !text type='Python']Python[!/text; Web scraping; Rapid Miner; Text mining; Support Vector Machine;

D O I：

10.1016/j.procs.2018.10.509

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This project is focused on exploring the appealing trends in the profiles of different users, with respect to different aspects of the user demographics which includes gender, whether the user is an individual or an organization, psychological and their academic background, who had discussed psychological articles on Twitter. To perform this task we retrieved the details of psychological articles, related tweets and twitter user details by web scraping using python. Then to assign suitable labels, we have used the Rapid Miner to create a model using training data. After the labeling process, we have analyzed the patterns in user profiles. Further, the tweet contents were analyzed focusing on the psychological topics more discussed by the users. This analysis will give the insight to psychological researchers, what topics are being discussed by the Twitter users and what are trending topics among Academic communities and Nonacademic Communities. (C) 2018 The Authors. Published by Elsevier Ltd.

引用

页码：96 / 104

页数：9

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