Text mining using tidy tools ✨📄✨
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Updated
Apr 10, 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.
Text mining using tidy tools ✨📄✨
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
An R package for the Quantitative Analysis of Textual Data
R package providing annotators and a normalized data model for natural language processing
Implementation of BERT in R
A Shiny Application for Inspecting Structural Topic Models
An R package for Keyword Assisted Topic Models
Summarise text by finding relevant sentences and keywords using the Textrank algorithm
Visualization tools to use with RBERT
Contextualised Embeddings and Language Modelling using BERT and Friends using R
Text Interchange Formats
R package for Ripple Down Rules-based Part-Of-Speech Tagging (RDRPOS). On more than 45 languages.
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.
flairR: Bring Amazing Flair NLP to R
Topic-Specific Diagnostics for LDA and CTM Topic Models
performing sentiment analysis on the whatsapp chats.
🔜 Integrative Toolbox of Word Embedding Research for Psychological Science.
R Shiny app for tweet analysis
An R wrapper for the Nutritionix API, allowing nutritional analysis of foods and recipes expressed in natural language
Detect UN Sustainable Development Goals in Text
Created by Alan Turing