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Sentiment Analysis Model

Developed by Freakid
A lightweight sentiment analysis model based on DistilBERT, suitable for text sentiment classification tasks
Downloads 31
Release Time : 3/12/2025

Model Overview

This model is a fine-tuned sentiment analysis model based on distilbert-base-uncased, primarily used for text sentiment classification tasks.

Model Features

Lightweight Architecture
Based on the DistilBERT architecture, it is smaller and faster than standard BERT models while maintaining high performance.
Sentiment Classification
Specifically optimized for text sentiment analysis tasks.

Model Capabilities

Text Sentiment Classification
English Text Analysis

Use Cases

Social Media Analysis
Comment Sentiment Analysis
Analyze the sentiment tendencies of social media comments
Customer Feedback Analysis
Product Review Classification
Automatically classify customer reviews as positive or negative
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