The state of the art in sentiment visualization

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

Visualization of sentiments and opinions extracted from or annotated in texts has become a prominent topic of research over the last decade. From basic pie and bar charts used to illustrate customer reviews to extensive visual analytics systems involving novel representations, sentiment visualization techniques have evolved to deal with complex multidimensional data sets, including
temporal, relational, and geospatial aspects. This contribution presents a survey of sentiment visualization techniques based on a detailed categorization. We describe the background of sentiment analysis, introduce a categorization for sentiment visualization techniques that includes 7 groups with 35 categories in total, and discuss 132 techniques from peer-reviewed publications together with an interactive web-based survey browser. Finally, we discuss insights and opportunities for further research in sentiment visualization. We expect this survey to be useful for visualization researchers whose interests include sentiment or other aspects of text data as well as researchers and practitioners from other disciplines in search of efficient visualization techniques applicable to their tasks and data.

Detaljer

Författare
Enheter & grupper
Externa organisationer
  • Linnaeus University
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Språkteknologi (språkvetenskaplig databehandling)

Nyckelord

Originalspråkengelska
Sidor (från-till)71-96
TidskriftComputer Graphics Forum
Volym37
Utgivningsnummer1
Tidigt onlinedatum2017 jun 12
StatusPublished - 2018
PublikationskategoriForskning
Peer review utfördJa

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