IMPROVING THE PERFORMANCE OF HDBSCAN ON SHORT TEXT CLUSTERING BY USING WORD EMBEDDINGS AND UMAP
Short text is one of the data formats usually generated by people on social media, for instance, tweets on Twitter. They are often used as data to analyze what is trending in the community. However, topic modeling or text clustering algorithms on short text have some unique problems. Namely, s...
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| Format: | Theses |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/58051 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
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