TY - GEN
T1 - Aspect-based Extraction of Implicit Opinions using Opinion Co-occurrence Algorithm
AU - Setiowati, Yuliana
AU - Djunaidy, Arif
AU - Siahaan, Daniel Oranova
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Facts are descriptive user reviews on a specific entity. A number of facts, which contain indirect opinions are called implicit opinions. This study aims to find the word opinion that is implied in the opinion sentence using the help of aspect extraction. Aspect extraction is connected to the opinion word list, thus reducing the search area to find the opinion word. This study had two stages, namely the learning stage and the validation stage. The learning stage focused on co-occurrence matrix opinion extraction using an opinion co-occurrence algorithm and extraction of category of aspects and opinions. The validation phase is to find opinion words that match the implicit opinion sentences based on aspect extraction. The data set is data from hotel user reviews in Yogyakarta from the TripAdvisor website from 2019. The validation results of implicit opinion extraction based on aspect extraction show an accuracy result in aspect extraction of 83.87%, while the accuracy result in opinion extraction is 56.13%.
AB - Facts are descriptive user reviews on a specific entity. A number of facts, which contain indirect opinions are called implicit opinions. This study aims to find the word opinion that is implied in the opinion sentence using the help of aspect extraction. Aspect extraction is connected to the opinion word list, thus reducing the search area to find the opinion word. This study had two stages, namely the learning stage and the validation stage. The learning stage focused on co-occurrence matrix opinion extraction using an opinion co-occurrence algorithm and extraction of category of aspects and opinions. The validation phase is to find opinion words that match the implicit opinion sentences based on aspect extraction. The data set is data from hotel user reviews in Yogyakarta from the TripAdvisor website from 2019. The validation results of implicit opinion extraction based on aspect extraction show an accuracy result in aspect extraction of 83.87%, while the accuracy result in opinion extraction is 56.13%.
KW - aspect extraction
KW - aspects category and opinions
KW - fact
KW - implicit opinion
KW - opinion co-occurrence algorithm
UR - https://www.scopus.com/pages/publications/85150182686
U2 - 10.1109/ISRITI56927.2022.10053003
DO - 10.1109/ISRITI56927.2022.10053003
M3 - Conference contribution
AN - SCOPUS:85150182686
T3 - 2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022
SP - 781
EP - 786
BT - 2022 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2022
Y2 - 8 December 2022 through 9 December 2022
ER -