RT Journal Article
T1 A lexicon based method to search for extreme opinions
A1 Al-Matarneh Mohammad Ata, Sattam
A1 Gamallo Otero, Pablo
K1 Lexicons
K1 Semantics
K1 Electronics
K1 Machine learning algorithms
K1 Algorithms
K1 Machine learning
K1 Information retrieval
K1 Social media
AB Studies in sentiment analysis and opinion mining have been focused on many aspects related to opinions, namely polarity classification by making use of positive, negative or neutral values. However, most studies have overlooked the identification of extreme opinions (most negative and most positive opinions) in spite of their vast significance in many applications. We use an unsupervised approach to search for extreme opinions, which is based on the automatic construction of a new lexicon containing the most negative and most positive words
PB Plos
YR 2018
FD 2018-05-25
LK http://hdl.handle.net/10347/16791
UL http://hdl.handle.net/10347/16791
LA eng
NO Almatarneh S, Gamallo P (2018) A lexicon based method to search for extreme opinions. PLoS ONE 13(5): e0197816. https://doi.org/10.1371/journal.pone.0197816
DS Minerva
RD 26 abr 2026