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text-normalization

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Predict emotions (happiness, anger, sadness) from WhatsApp chat data using machine learning and deep learning models. Includes text normalization, vectorization (TF-IDF, BoW, Word2Vec, GloVe), and model evaluation.

  • Updated May 28, 2024
  • Jupyter Notebook

Text classification is a widely used natural language processing task in different business problems. Given a statement or document, the task involves assigning to it an appropriate category from a pre-defined set of categories. The dataset of choice determines the set of categories. Text classification has applications in emotion classification, n

  • Updated Nov 2, 2022
  • Jupyter Notebook

This repository provides a complete workflow for text processing using Hugging Face Transformers and NLTK. It includes modules for sentence normalization, spelling correction, word embedding generation, positional encoding computation, and English-to-French translation

  • Updated Jun 18, 2024
  • Jupyter Notebook

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