The Multi-Class Text Emotion Classification system is a deep learning solution that analyzes text input and classifies it into one of seven distinct emotional categories.
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Updated
Jul 29, 2025 - Jupyter Notebook
#
multiclass-text-classification
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Successfully established a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify several distinct types of mental health statuses such as anxiety, stress, personality disorder, etc. with an accuracy of 77%.
natural-language-processing deep-learning text-classification data-visualization model-evaluation text-preprocessing text-tokenization multiclass-text-classification distilbert-model model-inference model-training-and-evaluation distilbert-fine-tuning
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Jan 6, 2025 - Jupyter Notebook
A project focused on hate speech detection across Twitter and Instagram using machine learning and deep learning techniques. Combines supervised learning on Twitter datasets and unsupervised learning techniques applied to scraped Instagram comments for a generalized, robust model.
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Updated
Dec 27, 2024 - Jupyter Notebook
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