flairR: Bring Amazing Flair NLP to R
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Updated
May 29, 2024 - R
flairR: Bring Amazing Flair NLP to R
Many countries speak Arabic; however, each country has its own dialect, the aim of this project is to build a model that predicts the dialect given the text.
Natural Language Processing
The primary objective of this project is to develop a robust system capable of accurately classifying patient conditions solely based on their reviews. By leveraging advanced NLP techniques, the project aims to streamline the categorization process and provide valuable insights into patient health status.
Development of guess a word game with NLP and optimal strategies search
Word Embeddings for the town of La Solana (Ciudad Real)
NLP
Projet Machine Learning non supervisé et supervisé sur d'un dataset d'Assurance
Automatic topic modelling using minimal external input and computational resources
This repository contains preprocessing and analyzing document similarity using Word2Vec embeddings, various similarity measures, and different visualization techniques.
In this project, three different models based on GAT, GCN and SAGE have been implemented to examine their performance on two prominent social networking platforms, namely Twitter and Reddit.
Automated WikiGame-playing 'bot'. Achieved via SentenceTransformer Word Embeddings.
RiverText is a framework that standardizes the Incremental Word Embeddings proposed in the state-of-art. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
Skip-gram and FastText models to perform word embeddings for building a search engine for clinical trials dataset with a Streamlit user interface.
My very first NLP project where I utilized all the concepts I learned of the topic.
MatWISE:A multi-tiered framework designed for material discovery
Delightful Dining Discoveries: A Journey of Culinary Exploration
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