User opinions on high-volume social media and various themes provide relevant information for sentiment analysis. This information can be collected and analyzed using a natural language processing with a monitoring system to support classification of criticism …
CITATION STYLE
Migunani, Setiawan, A., & Sembiring, I. (2021). Detection of Criticism and Hate speech Text Formulation on Online Social Network Twitter for Semantic Recommendation System Framework. In Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020) (Vol. 203). Atlantis Press. https://doi.org/10.2991/aer.k.210810.051
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