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Guwen Sent
A BERT-based sentiment classifier for classical poetry, specialized in analyzing emotional tendencies in ancient texts.
Downloads 20
Release Time : 3/2/2022
Model Overview
This model focuses on sentiment classification of classical poetry, capable of identifying emotional tendencies such as positive, negative, or neutral. Suitable for literary research, educational assistance, and other fields.
Model Features
Specialized for Classical Texts
Designed specifically for classical poetry and classical Chinese, accurately understanding the context and emotional expressions in ancient texts.
BERT Architecture
Based on the BERT pre-trained model, it possesses strong text comprehension capabilities.
Multi-Sentiment Classification
Capable of identifying various emotional tendencies, including but not limited to positive, negative, and neutral sentiments.
Model Capabilities
Classical Chinese Sentiment Analysis
Text Classification
Literary Sentiment Recognition
Use Cases
Literary Research
Poetry Sentiment Analysis
Analyze the emotional tendencies in classical poetry to assist in literary research and appreciation.
Can accurately identify emotional tones in poetry, such as boldness, gracefulness, sorrow, etc.
Educational Assistance
Classical Chinese Teaching
Help students understand emotional expressions in classical texts to improve learning outcomes.
Provides sentiment labels to assist students in understanding the artistic conception of poetry.
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