Word2Vec based matching model for patient similarity matching
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Updated
Feb 9, 2017 - R
Word2Vec based matching model for patient similarity matching
Text prediction Shiny tool based on N-grams and Semantic similarity
résumé automatique de texte oriente vers la prévention, l’éradication et détection des maladies ravageuses déclenchées sur les réseaux sociaux (twitter) cas de l’ebola , meningite et malaria
R package for adaptive correlation and covariance matrix shrinkage.
Machine Learning and Deep Learning Course
Word Factor Vectors
Public data for the Embedding Projector
👷♂️ A simple package for extracting useful features from character objects 👷♀️
This project was completed in the final week of the Data Science Bootcamp at Spiced Academy in Berlin as a graduation project. The project is a dictionary that measures organizational practices from employee reviews.
Terms of service agreements were used, in lieu of actual content on the web, as a dataset to learn more about writing algorithms.
Topic Modelling in Semantic Embedding Spaces
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
A Shiny app for scraping (via RedditExtractoR) and analyzing Reddit text data and script with more
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