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Sentiment Analysis Stock Tweets FineTuned

Developed by vidhivaish03
This is a sentiment analysis model fine-tuned based on FinancialBERT, specifically designed to analyze the sentiment tendencies (bearish, bullish, neutral) of financial news tweets.
Downloads 100
Release Time : 6/9/2024

Model Overview

The model helps investors and market analysts understand market sentiment and assists in investment decisions by performing sentiment analysis on financial news tweets.

Model Features

Specialized for Financial Domain
Fine-tuned based on FinancialBERT and specifically optimized for financial news tweets.
High Accuracy
Achieves an accuracy of 0.86 on the validation set, with an F1 score of 0.91 for neutral sentiment recognition.
Real-Time Analysis Capability
Suitable for integration into financial sentiment analysis pipelines for real-time predictions.

Model Capabilities

Financial Text Sentiment Analysis
Market Sentiment Evaluation
Tweet Classification

Use Cases

Financial Investment
Investor Sentiment Analysis
Evaluating market sentiment through social media posts and financial news
Assisting investment decisions
Market Trend Prediction
Predicting stock trends based on aggregated sentiment analysis from multiple sources
Financial Information Services
Financial News Monitoring
Automatically classifying financial news articles and tweets into different sentiment categories
Streamlining analysts' information collection process
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