Event Detection in Twitter by Weighting Tweet's Features

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Rahimizadeh Parinaz; Shayegan Mohammad Javad

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2022 | Issue:8

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Title

Event Detection in Twitter by Weighting Tweet's Features

Author(s)

Rahimizadeh Parinaz | Shayegan Mohammad Javad

Keywords

Event detection

Twitter

weighting

clustering

social network

Abstract

In recent years, people spend much time on social networks. They use social networks as a place to comment on personal or public events. Thus, a large amount of information is generated and shared daily in these networks. Such a massive amount of information help authorities to accurately and timely monitor and react to events. This unique specification prevents further damages, especially when a crisis occurs. Thus, Event detection is attracting considerable interest among social networks research. Since Twitter is one of the most popular social networks that potentially prepare an appropriate bed for Event detection, this study has been conducted on Twitter. The main idea of this research is to differentiate among tweets based on some of their features. For this purpose, the proposed methodology applies weights to the three features, including the followers' count, the retweets count, and the user location. The Event detection performance is evaluated by scoring potential clusters based on weighting the three mentioned features. The results show that the average execution time and the precision of Event detection in the proposed approach have been improved by 27% and 31%, respectively, in comparison to the base method. Another result of this research is detecting more events (including hot events and less important ones) in the presented method.

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APA: Copy

Rahimizadeh, Parinaz, & Shayegan, Mohammad Javad. (2022). Event Detection in Twitter by Weighting Tweet's Features. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949644/en

Vancouver: Copy

Rahimizadeh Parinaz, Shayegan Mohammad Javad. Event Detection in Twitter by Weighting Tweet's Features. 2022. Available from: https://sid.ir/paper/949644/en

IEEE: Copy

Parinaz Rahimizadeh, and Mohammad Javad Shayegan, “Event Detection in Twitter by Weighting Tweet's Features,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2022, [Online]. Available: https://sid.ir/paper/949644/en

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