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BERT Tweet Sentiment 50k 5eps
B
BERT Tweet Sentiment 50k 5eps
Developed by joe5campbell
基於BERT-base-uncased微調的推特情感分析模型，在50k數據上訓練5輪，驗證準確率達82.91%
Downloads 14
Release Time : 3/2/2022
Model Overview
該模型專門針對推特文本進行情感分析，能夠判斷文本表達的情感傾向。基於BERT架構，在特定數據集上進行了微調優化。
Model Features
高準確率
在驗證集上達到82.91%的準確率，訓練準確率高達99.13%
BERT微調
基於強大的BERT-base-uncased模型進行微調，繼承了BERT的優秀文本理解能力
輕量訓練
僅需5輪訓練即可達到較好效果，訓練效率高
Model Capabilities
文本情感分析
推特內容理解
情感傾向判斷
Use Cases
社交媒體分析
推特輿情監測
分析推特上關於特定話題的情感傾向
可即時監測公眾情緒變化
品牌聲譽管理
評估用戶對品牌或產品的情感反饋
幫助品牌及時發現負面評價
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