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Econodetect US
E
Econodetect US
Developed by samchain
A text classification model fine-tuned on economic relevance datasets to detect whether text involves US economic topics
Downloads 15
Release Time : 3/25/2025
Model Overview
This model is a fine-tuned version based on econo-sentence-v2 on economic relevance datasets, specifically designed to identify whether text content is related to the US economy. It can serve as a filtering tool to exclude texts not discussing US economic topics.
Model Features
Economic Text Recognition
Text classification capability specifically designed for US economic topics
Efficient Fine-tuning
During training, the base model remains frozen with only the classification head updated, improving training efficiency
Balanced Performance
Achieves balanced performance across metrics like accuracy, F1 score, precision, and recall
Model Capabilities
Economic-related text recognition
Text classification
Content filtering
Use Cases
Content Management
Economic News Filtering
Filter out economic-related content from news feeds
Achieves 82.11% accuracy
Academic Literature Classification
Identify economics research literature
Data Analysis
Social Media Economic Topic Analysis
Identify posts discussing economic topics on social media
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