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Emollama Chat 7b

Developed by lzw1008
Emollama-chat-7b is part of the EmoLLMs project and is the first open-source large language model series with instruction-following capability, focusing on comprehensive sentiment analysis.
Downloads 281
Release Time : 1/21/2024

Model Overview

This model is fine-tuned based on the Meta LLaMA2-chat-7B foundation model and complete AAID instruction fine-tuning data, suitable for sentiment classification tasks (such as sentiment polarity or emotion category judgment) and regression tasks (such as sentiment intensity or emotion severity assessment).

Model Features

Comprehensive Sentiment Analysis
Capable of performing sentiment classification and sentiment intensity assessment, covering multiple sentiment analysis tasks.
Instruction-Following Capability
Possesses instruction-following capability, enabling it to perform specific sentiment analysis tasks based on task descriptions.
Open-source Model
Released under the MIT license, fully open-source, and freely available for use and modification.

Model Capabilities

Sentiment Polarity Judgment
Emotion Category Recognition
Sentiment Intensity Assessment
Emotion Severity Assessment

Use Cases

Social Media Analysis
Sentiment Polarity Analysis
Analyze the sentiment polarity (positive/negative) of social media texts.
Can infer highly negative or highly positive emotional states.
Emotion Category Recognition
Identify specific emotion categories (such as anger, joy, etc.) in texts.
Can recognize multiple emotions, such as joy, love, optimism, etc.
Market Research
Product Feedback Analysis
Analyze users' sentiment intensity and emotion categories regarding products.
Provides a sentiment intensity score from 0 to 1 and specific emotion categories.
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