Open-source model for indonesia-bert-sentiment-classification - Free deployment to facilitate Indonesian text sentiment analysis

Home

Indonesia Bert Sentiment Classification

Developed by mdhugol

A sentiment classifier trained on the IndoBERT base model, supporting sentiment analysis for Indonesian text

Text Classification

Transformers

#Indonesian Sentiment Analysis #Pre-trained IndoBERT #Three-class Sentiment

Downloads 13.48k

Release Time : 3/2/2022

Model Overview

This model is a sentiment classification model for Indonesian text, capable of categorizing input text into positive, neutral, or negative sentiment categories.

Model Features

Based on Pre-trained Model

Fine-tuned on the powerful IndoBERT base model, with excellent language understanding capabilities

Professional Sentiment Dataset

Trained using the Prosa sentiment dataset, optimized for Indonesian sentiment analysis

Three-class Output

Can classify text sentiment into positive, neutral, or negative categories

Model Capabilities

Indonesian text sentiment classification

Short text sentiment analysis

Social media comment sentiment judgment

Use Cases

Social Media Analysis

Comment Sentiment Analysis

Analyze the sentiment tendencies of user comments on social media

Identify positive, neutral, or negative sentiments in comments

Customer Feedback Analysis

Customer Satisfaction Evaluation

Automatically analyze sentiment tendencies in customer feedback

Help businesses understand customer satisfaction levels

Featured Recommended AI Models

Empowering the Future, Your AI Solution Knowledge Base

English 简体中文繁體中文にほんご

Indonesia Bert Sentiment Classification

Model Overview

Model Features

Model Capabilities

Use Cases

🚀 Indonesian BERT Base Sentiment Classifier

🚀 Quick Start

💻 Usage Examples

Basic Usage