TY - JOUR
T1 - Sentiment analysis to assess the community's enthusiasm towards the development chatbot using an appraisal theory
AU - Widyaningrum, Prima
AU - Ruldeviyani, Yova
AU - Dharayani, Ramanti
N1 - Funding Information:
This research was supported by Universitas Indonesia under the PITTA B Grants 2019 of “Organizational Business Processes Improvement through Business Intelligence and Data Engineering” (No: NKB-0518/UN2.R3.1/HKP.05.00/2019). We would like to express our gratitude to the Faculty of Computer Science and the Directorate of Research and Community Engagement, Universitas Indonesia.
Publisher Copyright:
© 2019 The Authors.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - PT Kreatif Dinamika Integrasi will develop a chatbot as the computer program designed to simulate intellectual conversation via text and voice by using Artificial Intelligence (AI). However, because development costs are high enough, it is necessary to gather opinions on the community's enthusiasm that will support the decision whether the development should or should not to have proceeded. Community sentiment analysis of data obtained from social media Twitter. Appraisal Theory method is exercised utilizing the R Studio tool to perform tweet crawling, preprocessing, scoring and term weighting. R is an open-source language and environment used for statistical computing and graphics. The results of the analysis indicate positive sentiment where the positive and negative comparison ratio was 4,78. The expression of sentiment analysis results by using the NRC library is 547 for “anticipation” sentiment and 728 for “trust” expression so that the technology of chatbot can be developed by the company. Although the results of the analysis of obtained are positive assessment, there is still the negative sentiment in the community, so it is necessary to act to reduce the risk.
AB - PT Kreatif Dinamika Integrasi will develop a chatbot as the computer program designed to simulate intellectual conversation via text and voice by using Artificial Intelligence (AI). However, because development costs are high enough, it is necessary to gather opinions on the community's enthusiasm that will support the decision whether the development should or should not to have proceeded. Community sentiment analysis of data obtained from social media Twitter. Appraisal Theory method is exercised utilizing the R Studio tool to perform tweet crawling, preprocessing, scoring and term weighting. R is an open-source language and environment used for statistical computing and graphics. The results of the analysis indicate positive sentiment where the positive and negative comparison ratio was 4,78. The expression of sentiment analysis results by using the NRC library is 547 for “anticipation” sentiment and 728 for “trust” expression so that the technology of chatbot can be developed by the company. Although the results of the analysis of obtained are positive assessment, there is still the negative sentiment in the community, so it is necessary to act to reduce the risk.
KW - Appraisal theory
KW - Chatbot
KW - Sentiment analysis
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85078890448&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2019.11.176
DO - 10.1016/j.procs.2019.11.176
M3 - Conference article
AN - SCOPUS:85078890448
VL - 161
SP - 723
EP - 730
JO - Procedia Computer Science
JF - Procedia Computer Science
SN - 1877-0509
T2 - 5th Information Systems International Conference, ISICO 2019
Y2 - 23 July 2019 through 24 July 2019
ER -