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

Abstract

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.

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Stored only when both papers are in the corpus — 13 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.