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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 12, DECEMBER 2021

SENTIMENT ANALYSIS OF KAI ACCESS APPLICATION USING THE DEEP NEURAL NETWORK METHOD

Prima Dina Atika, Herlawati, Fata Nidaul Khasanah, Rafika Sari

DOI: 10.17148/IJARCCE.2021.101205

Abstract: self-attentionFire mode of transportation is a mode of transportation that can overcome traffic jams The mode of transportation in Indonesia is managed by PT Kereta Api Indonesia (KAI). From day PT KAI always improves services to the community. To know how much people comment positively and negatively, a sentiment analysis is carried out against PT KAI. By retrieving data by scraping from the page Google Play website. The data obtained is data from the Google Play website database which has as many as 600 comments in the form of user reviews of KAI Access. From review KAI Access users are classified using a deep neural network. Expected From the results of this sentiment analysis, it will improve PT KAI's services

Keywords: Sentiment Analysis, CNN, PT KAI, Google play

How to Cite:

[1] Prima Dina Atika, Herlawati, Fata Nidaul Khasanah, Rafika Sari, “SENTIMENT ANALYSIS OF KAI ACCESS APPLICATION USING THE DEEP NEURAL NETWORK METHOD,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.101205