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About Topic Modeling Text Clustering Based On Deep Learning Model
The document discusses topic modeling of text data using deep learning models. It provides an overview of traditional topic modeling techniques like LDA and their limitations for short texts. The authors propose using BERT with LDA to leverage contextual embeddings for topic modeling of short texts, as LDA struggles with limited context. Their results showed the combined LDA+BERT model produced better, more separated clusters than LDA or BERT alone.
Detailed Information
| Author: | ['salman younus'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 11 |
| Language: | English |
| Format: | |
| Price: | FREE |
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