The project involves developing a proof-of-concept system for classifying financial excerpts into predefined categories using Natural Language Processing (NLP) techniques.
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Jun 5, 2024 - Jupyter Notebook
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distilbert-fine-tuning
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Code for a comparative analysis of the performance of fine-tuned transformer models on climate change data. The transformer models used were BERT, DistilBERT and RoBERTa.
python transformers pytorch bert roberta distilbert bert-fine-tuning roberta-fine-tuning distilbert-fine-tuning
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Nov 20, 2024 - Jupyter Notebook
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
In this project we have tried to do multi-label hate-speech classification in Bengali and Hindi language using fill-mask transformer models.
nlp text-classification bengali hindi hate-speech toxic-comment-classification hate-speech-detection bengali-nlp bert-fine-tuning toxicity-classification roberta-fine-tuning distilbert-fine-tuning
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May 28, 2024 - Jupyter Notebook
Successfully developed a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify various distinct types of luxury apparels into their respective categories i.e. pants, accessories, underwear, shoes, etc.
natural-language-processing deep-learning text-classification exploratory-data-analysis multiclass-classification text-preprocessing text-tokenization distilbert-model fine-tuning-bert model-inference model-training-and-evaluation distilbert-fine-tuning
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Dec 31, 2024 - Jupyter Notebook
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