Tag: nlp

Syuzhet is an R package for the extraction of sentiment and sentiment-based plot arcs from text.

text is an R package for analyzing natural language with transformers-based large language models.

The corpustools package offers various tools for anayzing text corpora.

RTextTools is a machine learning package for automatic text classification that makes it simple to get started with machine learning.

The textTinyR package consists of text processing functions for small or big data files.

sentimentr calculates text polarity sentiment in the English language at the sentence level.

topicmodels provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM)

tokenizers is an R package offers functions with a consistent interface to convert natural language text into tokens.

textclean is a collection of tools to clean and normalize text. Many of these tools have been taken from the qdap package

tidytext is text mining for word processing and sentiment analysis using ‘dplyr’, ‘ggplot2’, and other tidy tools.

quanteda (Quantitative Analysis of Textual Data) is an R package for managing and analyzing text.

wordcloud creates attractive word clouds, visualize differences and similarity between documents, and avoid over-plotting in scatter plots.

tm (shorthand for Text Mining Infrastructure in R) provides a framework for text mining applications within R.

The stringr package provides a cohesive set of functions designed to make working with strings as easy as possible.