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Votter Corpus: A Corpus of Social Polling Language

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10372120" target="_blank" >RIV/00216208:11320/14:10372120 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Votter Corpus: A Corpus of Social Polling Language

  • Original language description

    The Votter Corpus is a new annotated corpus of social polling questions and answers. The Votter Corpus is novel in its use of the mobile application format and novel in its coverage of specific demographics. With over 26,000 polls and close to 1 millions votes, the Votter Corpus covers everyday question and answer language, primarily for users who are female and between the ages of 13-24. The corpus is annotated by topic and by popularity of particular answers. The corpus contains many unique characteristics such as emoticons, common mobile misspellings, and images associated with many of the questions. The corpus is a collection of questions and answers from The Votter App on the Android operating system. Data is created solely on this mobile platform which differs from most social media corpora. The Votter Corpus is being made available online in XML format for research and non-commercial use. The Votter android app can be downloaded for free in most android app stores.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/LC536" target="_blank" >LC536: Integrated center for natural language processing</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014)

  • ISBN

    978-2-9517408-8-4

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    3693-3697

  • Publisher name

    European Language Resources Association

  • Place of publication

    Reykjavík, Iceland

  • Event location

    Reykjavík, Iceland

  • Event date

    May 26, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000355611005054