26.5323, Calls: Computational Ling/Croatia

Mon Nov 30 18:03:40 UTC 2015

LINGUIST List: Vol-26-5323. Mon Nov 30 2015. ISSN: 1069 - 4875.

Subject: 26.5323, Calls: Computational Ling/Croatia

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Date: Mon, 30 Nov 2015 13:03:31
From: Daniela Sirinic [dsirinic at gmail.com]
Subject: International Conference on the Advances in Computational Analysis of Political Text

Full Title: International Conference on the Advances in Computational Analysis of Political Text 
Short Title: PolText 2016 

Date: 14-Jul-2016 - 16-Jul-2016
Location: Dubrovnik, Croatia 
Contact Person: Daniela Sirinic
Meeting Email: dsirinic at gmail.com
Web Site: http://www.poltext2016.net 

Linguistic Field(s): Computational Linguistics 

Subject Language(s): English (eng)

Call Deadline: 02-Feb-2016 

Meeting Description:

Technological developments, digital media, and advances in open government practices have made a vast amount of information available for social scientists. Most of this information is available as text. News portals disseminate political stories at unprecedented rates, politicians and political elites advertise their own messages through social media outlets and crowdsourcing provides new affordable and quick venues for asking citizens what they think about politics. With political texts at our fingertips, vexing research questions are emerging.

Extracting, organizing, and analyzing large amounts of textual information can be quite resource-intensive with many political scientists lacking the skills necessary for dealing with such data. Fortunately, recent developments of cutting edge computational technologies such as natural language-processing, machine learning, and information extraction techniques has made research utilizing text-as-data more accessible and appealing.

On the other hand, computational scholars equipped with novel technologies and linguistic solutions often have less experience with social science theories and less contextual knowledge about political data. There is a mutual benefit in connecting disparate worlds of computational text analysis and political science in analyzing political research problems. The aim of this conference is to facilitate this multidisciplinary cooperation.

Call for Papers:

We are interested in contributions on computational approaches in analysing political text such as government speeches, political debates, social media, media content, party manifestos and/or legislation.

This conference is looking for, but not limited to, contributions from the following topics with a focus on politically relevant data:

- text categorization
- topic modeling
- information extraction
- corpus analysis
- sentiment analysis
- stance classification and ideal point estimation 
- argumentation mining
- political reputation analysis
- techniques for multilingual text analysis
- other language technologies

Authors are invited to submit abstracts (up to 500 words) in the topic areas of the conference. Abstracts should be submitted electronically via the EasyChair conference submission website. After acceptance, authors should prepare short papers (may consist of up to five (5) double column pages of content, with two (2) additional pages for references). Templates and instructions on papers format will be sent to the authors of accepted proposals and made available on the conference website. All accepted abstracts will be published in the format of short papers in the conference proceedings and disseminated electronically before the conference.

Accommodation will be provided for one author of each accepted paper. We encourage participation of junior scholars by providing a small number of travel grants. We will also provide assistance in finding accommodation at discount rates for co-authors.

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