Interface to ChatGPT from R
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Updated
Sep 4, 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.
Interface to ChatGPT from R
gpttools extends gptstudio for package development to help you document code, write tests, or even explain code
Fast, Consistent Tokenization of Natural Language Text
Implementation of BERT in R
Using Transformers from HuggingFace in R
Workshop (6 hours): Deep learning in R using Keras. Building & training deep nets, image classification, transfer learning, text analysis, visualization
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
⛔ ARCHIVED ⛔ Accesses the Monkeylearn API for Text Classifiers and Extractors
An integrated framework in R for textual sentiment time series aggregation and prediction
Summarise text by finding relevant sentences and keywords using the Textrank algorithm
R package to perform sentiment analysis and Parts of Speech tagging for Dutch/French/English/German/Spanish/Italian
Visualization tools to use with RBERT
R package for Ripple Down Rules-based Part-Of-Speech Tagging (RDRPOS). On more than 45 languages.
flairR: Bring Amazing Flair NLP to R
DEPRECATED - The Concept Mover's Distance Method is now available in the text2map package. Concept Mover's Distance is a way to measure a document's conceptual engagement using word embeddings.
Created by Alan Turing