C

Cryptobert

Developed by kk08
A cryptocurrency market sentiment analysis model fine-tuned based on ProsusAI/finbert
Downloads 33.37k
Release Time : 4/13/2023

Model Overview

This model is a fine-tuned version of ProsusAI/finbert, specifically designed to analyze sentiment tendencies in cryptocurrency-related texts, capable of predicting whether the text is positive or negative.

Model Features

Cryptocurrency Domain Optimization
Fine-tuned specifically for cryptocurrency market texts, offering more domain-specific accuracy compared to general financial sentiment analysis models.
Efficient Training
Achieves good results with minimal training data, with the lowest validation loss reaching 0.2479.
Easy to Use
Provides a standard pipeline interface for quick integration into existing systems.

Model Capabilities

Cryptocurrency Text Sentiment Analysis
Financial Text Classification
Market Sentiment Detection

Use Cases

Cryptocurrency Market Analysis
Social Media Sentiment Monitoring
Analyze sentiment of discussions about specific cryptocurrencies on platforms like Twitter/Reddit.
Can accurately identify market sentiment changes (test set accuracy not provided).
News Impact Assessment
Evaluate the potential impact of cryptocurrency-related news on market sentiment.
Example shows an accuracy of 96.78% in identifying positive news.
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