Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
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Updated
Aug 16, 2024 - R
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
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
Topic Modelling in Semantic Embedding Spaces
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.
👷♂️ A simple package for extracting useful features from character objects 👷♀️
Public data for the Embedding Projector
Word Factor Vectors
Machine Learning and Deep Learning Course
R package for adaptive correlation and covariance matrix shrinkage.
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
Text prediction Shiny tool based on N-grams and Semantic similarity
Word2Vec based matching model for patient similarity matching
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