LSF subreddit sentiment analyzer that runs everyday.
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Updated
May 23, 2024 - Python
LSF subreddit sentiment analyzer that runs everyday.
Q&A System using BERT and Faiss Vector Database
Transformers 3rd Edition
Advanced RAG pipeline using Re-Ranking after initial retrieval
Data and code for the machine learning exam assignment of MA Digital Text Analysis (2023).
Classification of Italian PEC using state-of-the-art (SOTA) techniques, including machine learning and pre-trained deep learning models, as well as SOTA data augmentation
Simple State-of-the-Art BERT-Based Sentence Classification with Keras / TensorFlow 2. Built with HuggingFace's Transformers.
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.
Codebase and utilities for Multilingual Sentiment Analysis.
Turkish BERT/DistilBERT, ELECTRA and ConvBERT models
Deep learning for Natural Language Processing
Github repo with tutorials to fine tune transformers for diff NLP tasks
A prototype of a GPT model customized to the web scraped data of KIIT University to help answer the questions students may ask related to the academics, courses, events, etc.
This repository contains the code and resources for building a language understanding and question answering system using the Jeopardy! dataset. The project aims to train a language understanding model to extract meaning from open-ended questions and leverage that understanding to answer the questions using a dedicated QA system.
Summarize any text using the distilbart-cnn-12-6 model under the hood
Web application that analyzes sentiment of game reviews using DistilBert model trained with and without emojis and emoticons.
Leveraging various traditional and modern NLP approaches to analyse a dataset with script lines from the US TV-show "The Office".
NLP (Natural Language Processing)
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