Improving Sentiment Analysis in Digital Marketplaces through SVM Kernel Fine-Tuning
Abdul Fadlil Abdul Fadlil,
Imam Riadi,
Fiki Andrianto
Abstract:The rapid growth of the online market, particularly in the digital realm, has spurred the need for in-depth studies regarding marketing strategies through public opinion, especially on platforms like Twitter. The sentiments expressed in customer tweets hold significant insights into their satisfaction or dissatisfaction levels with a service. Therefore, the use of ML algorithms in sentiment analysis is imperative to detect whether such comments lean towards positivity or negativity regarding a service. This re… Show more
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