Speech Act


  • Tweet Acts: A Speech Act Classifier for Twitter, Soroush Vosoughi, Deb Ro https://arxiv.org/abs/1605.05156
    • "However, there has been very little work done on classifying the pragmatics of tweets"
      • how context and intention contribute to meaning
      • a set of communicative acts, more commonly known as speech acts.
      • noisy and unconventional nature of the language used on the platform
    • In this work, we created a supervised speech act classifier for Twitter, using a manually annotated dataset of a few thousand tweets, in order to be better understand the meaning and intention behind tweets and uncover the rich interactions between the users of Twitter.
    • Using Searle’s speech act taxonomy (Searle 1976), we established a list of six speech act categories that are commonly seen on Twitter: 
      • A Assertion (Påstand)
      • R Recommendation (Anbefaling)
      • E Expression (Uttrykk) 
      • Q Question (Spørsmål) 
      • R Request (be om) 
      • M Miscellaneous (diverse).
    •  We used Zhao et al.’s (Zhao and Jiang 2011) definitions for topic and type
    • A topic is a subject discussed in one or more tweets (e.g., Boston Marathon bombings, Red Sox, etc). The type characterizes the nature of the topic, these are: 
      1. Entity-oriented - Bibliotekets samlinger
      2. Event-oriented topics - Arrangementer, Tekniske oppdateringer, Undersøkelser, Q & A, (Utstillinger, Åpningstider) 
      3. Long-standing topics(IK, Open Access) Community, Ansatte, Club. 

Dele ALLE tweets i 3

og kombinere med språkhandlinger (gjør digitalt)?
  • Påstand - Anbefaling - Uttrykk - Spørsmål - Diverse m/
    • Ressurser (samlinger, bøker, artikler, oppslagsverk osv.)
    • Eventer (arrangementer/utstillinger/artikler/nettsider/åpningstider)
    • Tema (IK og Open Access)

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