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Demographic analysis of Twitter users

Authors: Geeta; Rajdeep Niyogi;

Demographic analysis of Twitter users

Abstract

In recent times the popularity of social media has gone up greatly. Due to the great number of people using these platforms and going vocal with their thoughts these can be used to determine public opinion. In this paper, we are extracting this opinion of people by analyzing the tweets collected from Twitter on major events like T20 World Cup, Paris Attack, Oscar, Olympics, Formula 1 championship etc. Here we have used demographic analysis. We first analyze the opinion of users and then calculate the sentiments of users on different events. In this way, we determine how users' opinion and their positive and negative sentiments differ demographically. With the help of sentiment Analysis Techniques we analyze the demographic behavior of users. We have performed this analysis on millions of Twitter users residing in different locations and have demonstrated the findings using graphs and pie charts.

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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