Campus Units

Computer Science, Political Science

Document Type

Article

Conference

2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

Publication Version

Accepted Manuscript

Publication Date

2017

Journal or Book Title

Identifying Policy Agenda Sub-Topics in Political Tweets based on Community Detection

First Page

698

Last Page

705

Conference Title

Identifying Policy Agenda Sub-Topics in Political Tweets based on Community Detection

Conference Date

2017

Abstract

The explosive use of twitter in the political landscape presents new avenues for tracking political conversations at federal and state level. Tweets are used by state and federal government bodies to present citizens with information about future and present policies. It is also used by political candidates to express their views on policy changes, laws and to campaign for legislative body elections, the most recent example being the 2016 US presidential elections. In this paper, we use supervised learning, textual semantic similarity and community detection techniques to find actively discussed policy agenda sub-topics among political tweets within a certain time period.

Comments

This article is published as Iyer, Rohit, Johnny Wong, Wallapak Tavanapong, and David AM Peterson. "Identifying Policy Agenda Sub-Topics in Political Tweets based on Community Detection." Posted with permission.

Rights

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Language

en

File Format

application/pdf

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