A web extension for identifying dark pattern on websites powered by Fine Tuned BERT Model for classificaiton on dark pattern custom dataset,
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Updated
Jun 8, 2024 - Jupyter Notebook
A web extension for identifying dark pattern on websites powered by Fine Tuned BERT Model for classificaiton on dark pattern custom dataset,
Machine learning model trained on 520K social media comments generating sentiment analysis based on usage of emojis in comments.
Essential NLP & ML, short & fast pure Python code
Recognition of news agency mentions in historical news articles (BERT-based token classification).
Large Language Model | BERT (Bidirectional Encoder Representations from Transformers)
In this project we have tried to do multi-label hate-speech classification in Bengali and Hindi language using fill-mask transformer models.
Leveraged BERT to distinguish AI generated from human written texts in a Kaggle competition, using datasets from Mistral AI (to train the model)
Public release of SciFCheX system developed for COM3610 Dissertation Project. The pipeline is designed to perform fact-checking on scientific claims.
Emotion Prediction in Arabic Text
Deep Learning Based NER Tool for Turkish with BiLSTM, BiGRU, fine-tuned BERT models
This project involves analyzing and classifying the BoolQ dataset from the SuperGLUE benchmark. We implemented various classifiers and techniques, including rules-based logic, BERT, RNN, and GPT-3/4 data augmentation, achieving performance improvements.
Accessing the Writing skills of a document/author by classifiying the statements and sentences into different classes based on the sequential learning using Pre-trained models from BERT. Rating the document based on the score obtained from the classes for each statement/sentence.
自作のデータセットでファインチューニングした言語モデルを使ったアプリを公開しました
Dark Pattern Detection using fine Tuned BERT Model, powered by CogniGuard project with streamlit web app
This is the repo of all my NLP (Natural Language Processing) projects.
Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.
This repository contains code that fine-tunes BERT for text classification on financial tweets.
Japanese derogatory text classifier
Analyzing French census data (1836-1936) for demographic insights : application on household head prediction.
Space Model framework that allows for maintaining generalizability, and enhances the performance on the downstream task by utilizing task-specific context attribution. It is an external LLM layer, that improves accuracy in classification task for multiple datasets, such as HateXplain, IMDB movies reviews and more.
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