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Emotion-Detection-BiLSTM
ketir/Emotion-Detection-BiLSTM
Emotion-Detection-BiLSTM is a machine learning model from ketir. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
--- license: apache-2.0 tags: - text-classification - emotion-classification - indonesian - bilstm - tensorflow language: - id pipelinetag: text-classification widget: - text: "Saya sangat bahagia hari ini!" - text: "…
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Aug 18, 2025
- Updated
- Aug 19, 2025
- SHA
- 5edc8dd9
Model card
From the Hugging Face model README
license: apache-2.0 tags:
- text-classification
- emotion-classification
- indonesian
- bilstm
- tensorflow language:
- id pipeline_tag: text-classification widget:
- text: "Saya sangat bahagia hari ini!"
- text: "Aku merasa sedih sekali"
- text: "Mengapa ini terjadi? Aku marah!"
Indonesian Emotion Classification with BiLSTM
Model Description
This model is a Bidirectional LSTM (BiLSTM) trained for emotion classification on Indonesian text. The model can predict 6 different emotions from text input.
Supported Emotions
angry- Marahfear- Takuthappy- Bahagialove- Cintasad- Sedih
Usage
from transformers import pipeline
# Load the model
classifier = pipeline("text-classification",
model="your-username/your-model-name",
return_all_scores=True)
# Predict emotion
result = classifier("Saya sangat bahagia hari ini!")
print(result)
- License
- apache-2.0
- Created
- Aug 18, 2025
- Updated
- Aug 19, 2025