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My First Model
M
My First Model
Developed by tsak6666
This is a pre-trained DistilBERT model fine-tuned on the SST-2 dataset for sentiment analysis. It can predict whether a given text expresses positive or negative sentiment.
Downloads 55
Release Time : 4/17/2025
Model Overview
This model is a lightweight text classification model based on the DistilBERT architecture, specifically designed for English text sentiment analysis tasks.
Model Features
Lightweight model
Based on the DistilBERT architecture, it is smaller and faster than standard BERT models while maintaining good performance.
Sentiment analysis
Optimized specifically for text sentiment analysis tasks, capable of accurately identifying positive/negative emotions.
English text processing
Specially trained and optimized for sentiment analysis of English texts.
Model Capabilities
Text classification
Sentiment analysis
English text processing
Use Cases
Social media analysis
Comment sentiment analysis
Analyze the sentiment tendencies of user comments on social media
Can automatically identify whether comments are positive or negative
Product feedback analysis
Customer review classification
Perform sentiment classification on product reviews on e-commerce platforms
Helps merchants quickly understand customer satisfaction
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