TY - JOUR
T1 - Knowledge-based identication of emotional status on social networks
AU - Vizcarra, Julio
AU - Kozaki, Kouji
AU - Torres Ruiz, Miguel
AU - Quintero, Rolando
N1 - Publisher Copyright:
© 2018 CEUR-WS. All Rights Reserved.
PY - 2018
Y1 - 2018
N2 - A knowledge based methodology is proposed for the content understanding and sentiment identication of the shared comments in social networks. The goal of this work is to retrieve the sentiment information associated to an opinion and classify it by its polarity and sentiment by means of a semantic analysis. Our approach implements knowledge graphs, similarity measures, graph theory algorithms and disambiguation processes. The results obtained were compared with data retrieved from Twitter and users' reviews in Amazon. We measured the eciency of our contribution with precision, recall and F-measure comparing it with the traditional method of just looking up concepts in sentiment dictionaries which usually assigns averages. Moreover an analysis was carried out in order to nd the best performance for the classication by using polarity, sentiment and a polarity-sentiment hybrid . A study is presented for remarking the advantage of using a disambiguation process in knowledge processing.
AB - A knowledge based methodology is proposed for the content understanding and sentiment identication of the shared comments in social networks. The goal of this work is to retrieve the sentiment information associated to an opinion and classify it by its polarity and sentiment by means of a semantic analysis. Our approach implements knowledge graphs, similarity measures, graph theory algorithms and disambiguation processes. The results obtained were compared with data retrieved from Twitter and users' reviews in Amazon. We measured the eciency of our contribution with precision, recall and F-measure comparing it with the traditional method of just looking up concepts in sentiment dictionaries which usually assigns averages. Moreover an analysis was carried out in order to nd the best performance for the classication by using polarity, sentiment and a polarity-sentiment hybrid . A study is presented for remarking the advantage of using a disambiguation process in knowledge processing.
KW - Conceptual similarity
KW - Knowledge engineering
KW - Sentiment analysis
UR - http://www.scopus.com/inward/record.url?scp=85060018068&partnerID=8YFLogxK
M3 - Artículo de la conferencia
AN - SCOPUS:85060018068
SN - 1613-0073
VL - 2293
SP - 55
EP - 66
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - Workshop and Poster 8th Joint International Semantic Technology Conference, JIST-WP 2018
Y2 - 26 November 2018 through 28 November 2018
ER -