BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Sentiment analysis: methods and applications - Dr Antonio Moreno O
 rtiz (Universidad de Málaga)
DTSTART:20221110T170000Z
DTEND:20221110T183000Z
UID:TALK183848@talks.cam.ac.uk
CONTACT:Mireia
DESCRIPTION:Sentiment analysis has received increased attention during the
  last decade\, with a growing number of both research initiatives and indu
 strial applications. Accordingly\, methodological approaches have expanded
  and diversified over the years. The aim of this talk is to introduce this
  area of research from a double perspective. First\, I describe the variou
 s methods that are employed to develop sentiment analysis computational re
 sources\, from linguistically-motivated\, lexicon-based systems to machine
  learning algorithms and language models. The tone is introductory and acc
 essible\, with a conceptual rather than technical emphasis\, although\, in
 evitably\, a number of technical aspects need to be discussed. The second 
 perspective focuses on the applications\; although sentiment analysis tool
 s were originally developed with a strong industrial bias\, applied to mar
 keting research\, customer satisfaction or social media analysis\, they ca
 n also be of great in linguistic inquiry\, that is\, as a means to explore
  texts and corpora. Thus\, a claim is made that sentiment analysis can be 
 a powerful new arrow in the linguist's quiver\, since these tools can offe
 r insights beyond those offered by traditional corpus analysis tools. I il
 lustrate the claim by describing several actual pieces of linguistic resea
 rch that use the Lingmotif sentiment analysis tool.
LOCATION:English Faculty\, GR05
END:VEVENT
END:VCALENDAR