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Emollama 7b

Developed by lzw1008
Emollama-7b is the first open-source large language model series EmoLLMs with instruction-following capability, fine-tuned based on LLaMA2-7B for comprehensive sentiment analysis
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Release Time : 1/21/2024

Model Overview

Fine-tuned on Meta LLaMA2-7B base model and complete AAID instruction tuning data, suitable for sentiment classification tasks (such as sentiment polarity or emotion categories) and regression tasks (such as emotion intensity or sentiment strength)

Model Features

Instruction-Following Capability
The first open-source sentiment analysis LLM with instruction-following capability
Multi-task Support
Simultaneously supports sentiment classification (discrete labels) and emotion intensity regression (continuous values) tasks
Fine-grained Sentiment Analysis
Can identify 11 basic emotions (anger, anticipation, disgust, etc.) and 7 levels of emotion intensity

Model Capabilities

Sentiment Polarity Classification
Emotion Type Recognition
Emotion Intensity Assessment
Sentiment Strength Quantification
Instruction-Following Sentiment Analysis

Use Cases

Social Media Analysis
Tweet Sentiment Analysis
Analyze sentiment tendencies and emotion types in social media texts
Can output sentiment polarity (positive/negative) and specific emotion types (e.g., happiness, anger)
Market Research
Product Review Analysis
Quantify the emotional intensity of user reviews
Provides emotion intensity values in the 0-1 range
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