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About Review of Text Classification Methods On Deep Learning
This document reviews text classification methods that use deep learning. It discusses how traditional machine learning methods for text classification have disadvantages like high dimensionality and data sparsity, while deep learning methods can avoid feature engineering and achieve higher accuracy. The document summarizes text classification processes using deep learning, which include text preprocessing, distributed text representation, building classification models using deep learning techniques, and model evaluation. Finally, it analyzes CNN, RNN, and attention-based models for text classification.
Detailed Information
Author: | ['amtbadhikari'] |
---|---|
Publication Year: | 2021 |
Pages: | 13 |
Language: | English |
Format: | |
Price: | FREE |
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