RT journal article
T1 Opinion Mining, Sentiment Analysis and Emotion Understanding in Advertising: A Bibliometric Analysis
A1 Sánchez-Núñez, Pablo
A1 Cobo Martín, Manuel Jesús
A1 De las Heras-Pedrosa, Carlos
A1 Peláez, José Ignacio
A1 Herrera-Viedma, Enrique
A2 Ingeniería Informática
K1 Advertising
K1 Sentiment analysis
K1 Bibliometrics
K1 Organizations
K1 Registers
K1 Indexes
K1 Computer science
K1 Advertising research
K1 bibliometrics
K1 communication
K1 consumer behavior
K1 emotion understanding
K1 opinion mining
K1 science mapping analysis
K1 SciMAT
K1 sentiment analysis
K1 VOSviewer
K1 Web of Science (WoS)
AB In the last decade, the advertising industry has experienced a quantum leap, powered by recent advances in neuroscience, a large investment in artificial intelligence, and a high degree of consumer expertise. Within this context, opinion mining, sentiment analysis, and emotion understanding bring us closer to one of the most sought-after objectives of advertising: to offer relevant ads at scale. The importance of studies about opinion mining, sentiment analysis, and emotion understanding in advertising has been rising exponentially over the last years. The peak of this new situation has been the interest of the research community in studying the relationship between such innovations and the spread of smart and contextual advertising. This article analyzes those works that address the relationship between sentiment analysis, opinion mining, and emotion understanding in advertising. The main objective is to clarify the current state of these studies, explore issues, methods, findings, themes, and gaps as well as to define their significance within the current convergence advertising research scenario. To reach such objectives, a bibliometric analysis was conducted, retrieving and analyzing 919 research works published between 2010 and 2019 based on results from Web of Science (WoS).
PB IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
SN 2169-3536
YR 2020
FD 2020
LK http://hdl.handle.net/10498/23610
UL http://hdl.handle.net/10498/23610
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 13-nov-2026