An R 📦 of H. P. Lovecraft's works for textual analysis
-
Updated
Jul 18, 2024 - R
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
An R 📦 of H. P. Lovecraft's works for textual analysis
rezonateR (say "resonate R") uses R to analyze data created by Rezonator
A lightweight, unobtrusive R companion for some common NLP & web scraping tasks.
Using Transformers from HuggingFace in R
flairR: Bring Amazing Flair NLP to R
😷 The Fill-Mask Association Test (FMAT): Measuring Propositions in Natural Language.
An all-in-one R package for the assessment of linguistic similarity
Functions for working with strings in R
Warmth and Competence Detectors
All the computations that one need to replicate the results described in my thesis.
gpttools extends gptstudio for package development to help you document code, write tests, or even explain code
Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
Using machine learning to predict ocean health based on scraped BBNJ speech contents
Fast, Consistent Tokenization of Natural Language Text
An R package for estimating the log-probabilities of words in a given context using transformer models.
Bioinformatics, Omics, NLP : Masters 1st year internship project
Created by Alan Turing