emotion_trained_31415 Open-Source Sentiment Analysis Model - Accurately Classify Tweet Sentiments

Emotion Trained 31415

Developed by marcolatella

A sentiment analysis model fine-tuned based on distilbert-base-uncased, trained on the tweet_eval dataset for tweet sentiment classification

Downloads 16

Release Time : 3/2/2022

Model Overview

This model is a text classification model specifically designed for tweet sentiment analysis, capable of identifying emotional tendencies in tweets

Efficient and lightweight

Based on the DistilBERT architecture, it reduces model size while maintaining performance

Sentiment analysis

Optimized sentiment classification capability specifically for tweet content

Fine-tuned optimization

Targeted fine-tuning performed on the tweet_eval dataset

Text classification

Sentiment analysis

Tweet content understanding

Social media analysis

Tweet sentiment monitoring

Analyze the emotional tendencies of user tweets on social media

F1 score reached 0.7213

Brand sentiment analysis

Monitor user sentiment tendencies in brand-related tweets

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	204	0.6182	0.7137
No log	2.0	408	0.7472	0.6781
0.5084	3.0	612	0.8242	0.7236
0.5084	4.0	816	0.9166	0.7213

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