azizp128/prediksi-emosi-indobert
Model analisis sentimen berbasis IndoBERT yang dapat memprediksi 6 jenis emosi dalam suatu kalimat, yaitu marah, sedih, senang, cinta, takut, dan jijik.
This tool helps you understand the emotional tone of Indonesian text, like social media posts or customer feedback. You provide a sentence or paragraph in Indonesian, and it tells you if the text expresses anger, sadness, happiness, love, fear, or disgust. Anyone who needs to gauge public sentiment or user emotions from Indonesian written content, such as social media analysts or customer service managers, would find this useful.
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Use this if you need to quickly identify the dominant emotion in Indonesian sentences or short texts for sentiment analysis or content moderation.
Not ideal if you need a deep, nuanced understanding of complex emotions in long-form Indonesian documents or require analysis for languages other than Indonesian.
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Feb 01, 2025
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