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Sentiment Analysis Model
基于DistilBERT-base-uncased微调的情感分析模型，在IMDB数据集上训练，准确率达93.1%
Downloads 25
Release Time : 11/24/2024
Model Overview
该模型用于文本情感分析任务，能够判断文本的情感倾向（正面/负面）。基于轻量级DistilBERT架构，在保持高性能的同时减少了计算资源需求。
Model Features
高准确率
在IMDB测试集上达到93.1%的准确率
轻量级架构
基于DistilBERT，比标准BERT模型更小更快
快速推理
适合实时情感分析应用场景
Model Capabilities
文本情感分类
自然语言处理
英语文本分析
Use Cases
内容分析
电影评论情感分析
分析IMDB等平台的电影评论情感倾向
准确区分正面/负面评价
社交媒体监控
监测社交媒体上用户对品牌/产品的情感倾向
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