AI Text Classifier (Sentiment Analysis)
Analyze positive/negative sentiment, polarity, and confidence scores locally using DistilBERT.
DistilBERT SST-2100% Client-Side
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Task: Binary Sentiment Classification (POSITIVE / NEGATIVE)
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Failed to classify input text.
Classification Results & Confidence Scores
About DistilBERT Text Sentiment Classification
SST-2 Model Fine-Tuning
Uses `Xenova/distilbert-base-uncased-finetuned-sst-2-english` trained on Stanford Sentiment Treebank for high precision binary sentiment detection.
Confidence Scoring
Calculates exact softmax probability distribution for positive vs. negative sentiment classifications.
Local Privacy
Runs 100% inside your browser environment without sending your confidential text or reviews to remote cloud endpoints.
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