Emotion Recognition in Text

[Anantashayana]

Is your feature request related to a problem? Please describe.

Problem Statement: Develop an emotion recognition model capable of analyzing text data and accurately classifying the expressed emotions, enabling applications in sentiment analysis and customer feedback analysis for better understanding and interpretation of text-based emotions.

Describe the solution you'd like

1. Collect and preprocess labeled text data.
2. Extract features from preprocessed text.
3. Train a suitable model for emotion recognition.
4. Evaluate and fine-tune the model for optimal performance.
5. Deploy the model as a service/API for text-based emotion classification.

Describe alternatives you've considered

• Recurrent Neural Network (RNN) architectures: Long Short-Term Memory (LSTM) or Gated Recurrent Unit (GRU) for capturing sequential information in text data and classifying emotions.
• Transformers: Models like BERT (Bidirectional Encoder Representations from Transformers) or GPT (Generative Pre-trained Transformer) can be used for more advanced emotion recognition tasks.

Additional context

No response

Code of Conduct

• [X] I agree to follow this project's Code of Conduct

[khusheekapoor]

@Anantashayana - you can go ahead! We are assigning you 21 days for this project, after which it will be assigned to someone else if not completed. All the best! Name the file as: algorithm_dataset.ipynb and link it in the readme of the labeled directory as algorithm - dataset.