Indonesian Twitter Emotion Recognition Model using Feature Engineering
Rhio Sutoyo,
Harco Leslie Hendric Spits Warnars,
Sani Muhamad Isa
et al.
Abstract:Twitter is a social media platform that has a large amount of unstructured natural language text. The content of Twitter can be utilized to capture human behavior via emphasized emotions located in tweets. In their tweets, people commonly express emotions to show their feelings. Hence, it is crucial to recognize the text's underlined emotions to understand the message's meaning. Feature engineering is the process of improving raw data into often overlooked features. This research explores feature engineering t… Show more
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