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About Deep Learning For Dravidian Codemix Problem
The document discusses classification of sentiment in code-mixed Dravidian language text using deep learning models. It presents the challenges of tokenizing text in Dravidian languages due to their agglutinative nature. Byte pair encoding (BPE) is shown to be an effective tokenization technique as it alleviates the exponential vocabulary problem caused by agglutination. Deep learning models including LSTM with attention achieve an overall accuracy of 64.04% on the combined Tamil and Malayalam dataset for sentiment classification.
Detailed Information
| Author: | ['Selva Kumar'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 10 |
| Language: | English |
| Format: | |
| Price: | FREE |
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