Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
👷♂️ A simple package for extracting useful features from character objects 👷♀️
Topic Modelling in Semantic Embedding Spaces
Word Factor Vectors
R package for adaptive correlation and covariance matrix shrinkage.
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
Machine Learning and Deep Learning Course
Word2Vec based matching model for patient similarity matching
A Shiny app for scraping (via RedditExtractoR) and analyzing Reddit text data and script with more
Public data for the Embedding Projector
Terms of service agreements were used, in lieu of actual content on the web, as a dataset to learn more about writing algorithms.
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.
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
Add a description, image, and links to the word2vec topic page so that developers can more easily learn about it.
To associate your repository with the word2vec topic, visit your repo's landing page and select "manage topics."