TY - JOUR
T1 - Mining the Sentiment of Online Gaming from Social-Media
T2 - 7th Information Systems International Conference, ISICO 2023
AU - Nadlifatin, Reny
AU - Persada, Satria Fadil
AU - Gunawan, Gilbert Aldrich
AU - Prasetyo, Yogi Tri
AU - Young, Michael Nayat
AU - Perwira Redi, Anak Agung Ngurah
AU - Lukiyanto, Kukuh
N1 - Publisher Copyright:
© 2023 The Authors. Published by Elsevier B.V.
PY - 2024
Y1 - 2024
N2 - The gaming industry has changed since advanced technologies and hardware specifications were able to create the possibility of gaming with connective network or known as online gaming. Some communities are accepting positively, and others are contradicted. Thus, there is an urgency to know the insight from their sentiment. The present research extracts 10 thousand sentiments at social media with sentiment text analysis. The text is interpreted into six based emotions namely anger, disgust, fear, joy, sadness, and surprise. The mining analysis by lexicon valance aware dictionary and sentiment reasoner (VADER) projects the Joy emotions as the domination result with 94.74%. Positive joy expression on online gaming is revealed by extracting the sentiment analysis. In total, ten thousand data were collected from the corpus, which resulted in the happy sentiments that were experienced.
AB - The gaming industry has changed since advanced technologies and hardware specifications were able to create the possibility of gaming with connective network or known as online gaming. Some communities are accepting positively, and others are contradicted. Thus, there is an urgency to know the insight from their sentiment. The present research extracts 10 thousand sentiments at social media with sentiment text analysis. The text is interpreted into six based emotions namely anger, disgust, fear, joy, sadness, and surprise. The mining analysis by lexicon valance aware dictionary and sentiment reasoner (VADER) projects the Joy emotions as the domination result with 94.74%. Positive joy expression on online gaming is revealed by extracting the sentiment analysis. In total, ten thousand data were collected from the corpus, which resulted in the happy sentiments that were experienced.
KW - Online gaming
KW - Sentiment
KW - Social media
KW - Text analysis
UR - http://www.scopus.com/inward/record.url?scp=85193200142&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2024.03.101
DO - 10.1016/j.procs.2024.03.101
M3 - Conference article
AN - SCOPUS:85193200142
SN - 1877-0509
VL - 234
SP - 1069
EP - 1075
JO - Procedia Computer Science
JF - Procedia Computer Science
Y2 - 26 July 2023 through 28 July 2023
ER -