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bert-emotion-classifier – AI Model by user-anto | AlphaNeural AI
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user-anto
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bert-emotion-classifier
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transformers
safetensors
bert
text-classification
en
google-bert/bert-base-uncased
finetune
mit
autotrain_compatible
endpoints_compatible
us
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Texts text input and classifies the text into 8 classes of emotions- neutral, anger, love, fear, hate, happiness, sadness, surprise
Model Details
Model Description
Developed by:
Antareep, Eswar, Subhasish
Model type:
Large Language Model(LLM)
Language(s) (NLP):
English
License:
MIT
Finetuned from model:
BERT-Base
Model Sources [optional]
Repository:
https://huggingface.co/google-bert/bert-base-uncased
Uses
Fine-tune further on more data
Emotion classification tasks
Direct Use
Check out this app-
https://huggingface.co/spaces/user-anto/text-emotion-classifier
Bias, Risks, and Limitations
This model gets confused with text input corresponding to the emotion 'angry'.
[More Information Needed]
Training Details
Training Data
[More Information Needed]
Training Procedure
Training Hyperparameters
Training regime:
[More Information Needed]
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Model Card Contact
Email:
rantareep2@gmail.com
