Penggunaan CNN Dalam Analisis Sentimen Pada ReviewTempat Wisata Makassar
DOI:
https://doi.org/10.26618/73mrdb71Keywords:
Kata Kunci, Mesin Learning, Analisis, Sentimen, Makassar, Google MapsAbstract
This research aims to analyze sentiment in reviews of tourist attractions in Makassar using the
Convolutional Neural Network (CNN) method. Makassar, as one of Indonesia's main tourist
destinations, receives numerous reviews from diverse visitors. Each review is textually
processed through data cleaning, tokenization, stop word removal, and stemming stages. The
CNN model built consists of several convolutional and pooling layers that function to extract
important features from the review text. The results of this research provide valuable insights
into visitors' perceptions of tourist attractions in Makassar. This sentiment analysis can be used
by tourist attraction managers and related parties to improve the quality of services and visitor
experiences.
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