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Emobloom 7b

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

Model Overview

Fine-tuned based on the bloomz-7b1-mt foundation model and complete AAID instruction tuning data, it can be used for sentiment classification tasks (such as sentiment polarity or emotion classification) and regression tasks (such as sentiment intensity or emotion strength).

Model Features

Sentiment Analysis Capability
Capable of performing sentiment classification and sentiment intensity regression tasks, comprehensively analyzing text sentiment.
Instruction Following
The first open-source large language model series with instruction-following capabilities, adjusting outputs based on task descriptions.
Multitask Support
Supports various sentiment analysis tasks such as sentiment polarity classification, emotion classification, and sentiment intensity evaluation.

Model Capabilities

Sentiment Classification
Sentiment Intensity Evaluation
Emotion Strength Analysis
Instruction Following

Use Cases

Social Media Analysis
Tweet Sentiment Analysis
Analyze the sentiment polarity and emotion types of social media tweets.
Accurately identifies emotions such as joy and anger and their intensities.
Customer Feedback Analysis
Product Review Sentiment Evaluation
Evaluate customer satisfaction and sentiment tendencies toward products.
Quantifies customer sentiment intensity to help improve products.
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