方法证据记录
Sentiment Analysis
Sentiment analysis, also called opinion mining, is a natural-language-processing task that detects the emotional tone of text — typically classifying it as positive, negative, or neutral. It turns unstructured opinion text into structured, quantifiable polarity signals using one of three families of approaches: sentiment lexicons, trained machine-learning classifiers, or pretrained transformer models.
源记录
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Sentiment Analysis (Opinion Mining)
分类方法记录 · process-pipeline / text-mining
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