TY - GEN
T1 - Sentiment Analysis of Indonesia's National Economic Endurance using Fuzzy Ontology-Based Semantic Knowledge
AU - Kardinata, Eunike Andriani
AU - Rakhmawati, Nur Aini
AU - Putra, Muhamad Faiq Purnomo
AU - Najib, Ahmad Choirun
AU - Zuhroh, Nurrida Aini
AU - Irsyad, Akhmad
AU - Qandi, Ghiffari Assamar
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/4/9
Y1 - 2021/4/9
N2 - Campaigns of election candidates often enliven the social media platforms that they chose the total number of social media users in Indonesia has reached approximately 130 million users. Making use of this momentum where the social media is very active in the year of campaigns and elections, we attempt to mine the public sentiment in terms of national endurance using fuzzy ontology-based semantic knowledge. A regular ontology is usually considered rather ineffective in extracting information from tweets; thus, we use the concept of fuzzy ontology-based semantic knowledge. Fuzzy ontology-based semantic knowledge is one method of sentiment analysis using combined approach of lexicon-based, ontology-based, and fuzzy logic. This method gives results whether a tweet is categorized as strong negative, negative, neutral, positive, or strong positive. Moreover, a regular ontology is unable to classify a tweet into sentiment categories when that tweet has more than one SentiWord value. From the 2032 tweets with sentiments, we found 205 tweets having more than one SentiWord values therefore, the application of FuzzyDL is needed to solve this problem. Using this method, we obtain the accuracy score of 78%, precision score of 93%, recall score of 73%, and F-measure score of 82%.
AB - Campaigns of election candidates often enliven the social media platforms that they chose the total number of social media users in Indonesia has reached approximately 130 million users. Making use of this momentum where the social media is very active in the year of campaigns and elections, we attempt to mine the public sentiment in terms of national endurance using fuzzy ontology-based semantic knowledge. A regular ontology is usually considered rather ineffective in extracting information from tweets; thus, we use the concept of fuzzy ontology-based semantic knowledge. Fuzzy ontology-based semantic knowledge is one method of sentiment analysis using combined approach of lexicon-based, ontology-based, and fuzzy logic. This method gives results whether a tweet is categorized as strong negative, negative, neutral, positive, or strong positive. Moreover, a regular ontology is unable to classify a tweet into sentiment categories when that tweet has more than one SentiWord value. From the 2032 tweets with sentiments, we found 205 tweets having more than one SentiWord values therefore, the application of FuzzyDL is needed to solve this problem. Using this method, we obtain the accuracy score of 78%, precision score of 93%, recall score of 73%, and F-measure score of 82%.
KW - Economic Aspect
KW - Fuzzy Logic
KW - National Endurance
KW - Ontology
KW - SentiWord
KW - Sentiment Analysis
KW - Twitter
UR - https://www.scopus.com/pages/publications/85107282895
U2 - 10.1109/EIConCIT50028.2021.9431895
DO - 10.1109/EIConCIT50028.2021.9431895
M3 - Conference contribution
AN - SCOPUS:85107282895
T3 - 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
SP - 99
EP - 104
BT - 3rd 2021 East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
A2 - Alfred, Rayner
A2 - Haviluddin, Haviluddin
A2 - Wibawa, Aji Prasetya
A2 - Santoso, Joan
A2 - Kurniawan, Fachrul
A2 - Junaedi, Hartarto
A2 - Purnawansyah, Purnawansyah
A2 - Setyati, Endang
A2 - Saurik, Herman Thuan To
A2 - Setiawan, Esther Irawati
A2 - Setyaningsih, Eka Rahayu
A2 - Pramana, Edwin
A2 - Kristian, Yosi
A2 - Kelvin, Kelvin
A2 - Purwanto, Devi Dwi
A2 - Kardinata, Eunike
A2 - Anugrah, Prananda
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd East Indonesia Conference on Computer and Information Technology, EIConCIT 2021
Y2 - 9 April 2021 through 11 April 2021
ER -