Research Experiment on Multi-Model Comparison for Chinese Text Classification Tasks

• URL: http://arxiv.org/abs/2412.18908v1
• Date: Wed, 25 Dec 2024 13:54:40 GMT
• Title: Research Experiment on Multi-Model Comparison for Chinese Text Classification Tasks
• Authors: JiaCheng Li,
• Abstract summary: This paper conducts a comparative study on three deep learning models:TextCNN, TextRNN, and FastText.specifically for Chinese text classification tasks. The performance of these models is evaluated, and their applicability in different scenarios is discussed.
• Score: 12.087640144194246
• License:
• Abstract: With the explosive growth of Chinese text data and advancements in natural language processing technologies, Chinese text classification has become one of the key techniques in fields such as information retrieval and sentiment analysis, attracting increasing attention. This paper conducts a comparative study on three deep learning models:TextCNN, TextRNN, and FastText.specifically for Chinese text classification tasks. By conducting experiments on the THUCNews dataset, the performance of these models is evaluated, and their applicability in different scenarios is discussed.

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