LSF subreddit sentiment analyzer that runs everyday.
-
Updated
Jul 16, 2024 - Python
LSF subreddit sentiment analyzer that runs everyday.
Sentiment analysis model using Hugging Face's RoBERTa achieves 94% accuracy in classifying Udemy course reviews as positive, negative, or neutral
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.
Sentiment analysis with pre-trained language models using TweetEval.
🦄 NLP on My Little Pony episodes. Project for Text Mining and Sentiment Analysis exam.
Transformers 3rd Edition
Multilingual sentiment analysis and intent classification in Romanian, Bachelors thesis
For this project, I fine-tuned two separate models for three tasks: document summarization, dialogue summarization and text classification
Convert Wikidata and Wikipedia raw files to filterable formats with a focus of marking Wikidata as summaries based on their Wikipedia abstracts.
Kaggle Competition
Our goal is to train a classifier that can predict the CEFR level of any given sentence. In this notebook we will use 🤗Hugging Face and its transformers library as the training framework, with Pytorch as the deep learning backend.
Task Complexity Classifier using Transformer-based NLP model based on Bloom's Taxonomy
1. Fine-tune DistilBERT on NLI and dentify the some salient or toxic features that the model learnt. 2. Sample annotations techniques and production of silver label using (EDA and Back Translation).
Q&A System using BERT and Faiss Vector Database
Advanced RAG pipeline using Re-Ranking after initial retrieval
Data and code for the machine learning exam assignment of MA Digital Text Analysis (2023).
MSc thesis project: classification of italian certified electronic mails using SOTA machine learning, fine-tuning pre-trained deep learning models and data augmentation techniques
Comparative analysis of Bert Variants on MELD, Go_Emotions benchmark datasets.
Add a description, image, and links to the distilbert topic page so that developers can more easily learn about it.
To associate your repository with the distilbert topic, visit your repo's landing page and select "manage topics."