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Bert Base Goemotions

Developed by IsaacZhy
A sentiment classification model fine-tuned on the go_emotions dataset based on bert-base-uncased
Text Classification
Transformers
Open Source License:Apache-2.0#Sentiment Classification#Multi-label Text Analysis#BERT Fine-tuning
Downloads 28
Release Time : 2/3/2023

Model Overview

This model is a fine-tuned version of bert-base-uncased on the go_emotions dataset, primarily used for text sentiment classification tasks.

Model Features

Efficient Fine-tuning
Fine-tuned based on the pre-trained bert-base-uncased model, fully leveraging the powerful feature extraction capabilities of the pre-trained model.
Multi-label Classification
Capable of handling multi-label sentiment classification tasks in the go_emotions dataset.
Stable Training
After 10 epochs of training, all metrics showed steady improvement, ultimately achieving good classification performance.

Model Capabilities

Text Sentiment Classification
Multi-label Classification

Use Cases

Sentiment Analysis
Social Media Sentiment Analysis
Analyze the sentiment tendencies in social media texts.
Capable of identifying multiple sentiment labels.
Customer Feedback Analysis
Analyze the sentiment tendencies in customer feedback.
Helps understand customer emotions.
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