The state of the art in sentiment visualization

Research output: Contribution to journalArticle

Standard

The state of the art in sentiment visualization. / Kucher, Kostiantyn; Paradis, Carita; Kerren, Andreas.

In: Computer Graphics Forum, Vol. 37, No. 1, 2018, p. 71-96.

Research output: Contribution to journalArticle

Harvard

APA

CBE

MLA

Vancouver

Author

Kucher, Kostiantyn ; Paradis, Carita ; Kerren, Andreas. / The state of the art in sentiment visualization. In: Computer Graphics Forum. 2018 ; Vol. 37, No. 1. pp. 71-96.

RIS

TY - JOUR

T1 - The state of the art in sentiment visualization

AU - Kucher, Kostiantyn

AU - Paradis, Carita

AU - Kerren, Andreas

PY - 2018

Y1 - 2018

N2 - 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, includingtemporal, 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.

AB - 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, includingtemporal, 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.

KW - sentiment visualization

KW - text visualization

KW - sentiment analysis

KW - opinion mining

U2 - 10.1111/cgf.13217

DO - 10.1111/cgf.13217

M3 - Article

VL - 37

SP - 71

EP - 96

JO - Computer Graphics Forum

JF - Computer Graphics Forum

SN - 1467-8659

IS - 1

ER -