cleanNLP - A Tidy Data Model for Natural Language Processing

Provides a set of fast tools for converting a textual corpus into a set of normalized tables. Users may make use of the 'udpipe' back end with no external dependencies, or a Python back ends with 'spaCy' <https://spacy.io>. Exposed annotation tasks include tokenization, part of speech tagging, named entity recognition, and dependency parsing.

Last updated 6 months ago

corenlpnatural-language-processingspacy

8.85 score 212 stars 221 scripts 728 downloads

genlasso - Path Algorithm for Generalized Lasso Problems

Computes the solution path for generalized lasso problems. Important use cases are the fused lasso over an arbitrary graph, and trend fitting of any given polynomial order. Specialized implementations for the latter two subproblems are given to improve stability and speed. See Taylor Arnold and Ryan Tibshirani (2016) <doi:10.1080/10618600.2015.1008638>.

Last updated 2 years ago

7.68 score 32 stars 6 packages 166 scripts 455 downloads

ggimg - Graphics Layers for Plotting Image Data with 'ggplot2'

Provides two new layer types for displaying image data as layers within the Grammar of Graphics framework. Displays images using either a rectangle interface, with a fixed bounding box, or a point interface using a central point and general size parameter. Images can be given as local JPEG or PNG files, external resources, or as a list column containing raster image data.

Last updated 1 years ago

ggplot2-geomimage-analysis

5.70 score 53 stars 19 scripts 248 downloads

tif - Text Interchange Format

Provides validation functions for common interchange formats for representing text data in R. Includes formats for corpus objects, document term matrices, and tokens. Other annotations can be stored by overloading the tokens structure.

Last updated 12 months ago

corpusnatural-language-processingterm-frequencytext-processingtokenizer

3.83 score 35 stars 13 scripts

sotu - United States Presidential State of the Union Addresses

The President of the United States is constitutionally obligated to provide a report known as the 'State of the Union'. The report summarizes the current challenges facing the country and the president's upcoming legislative agenda. While historically the State of the Union was often a written document, in recent decades it has always taken the form of an oral address to a joint session of the United States Congress. This package provides the raw text from every such address with the intention of being used for meaningful examples of text analysis in R. The corpus is well suited to the task as it is historically important, includes material intended to be read and material intended to be spoken, and it falls in the public domain. As the corpus spans over two centuries it is also a good test of how well various methods hold up to the idiosyncrasies of historical texts. Associated data about each address, such as the year, president, party, and format, are also included.

Last updated 2 years ago

3.79 score 2 stars 62 scripts 710 downloads

ctrialsgov - Query Data from U.S. National Library of Medicine's Clinical Trials Database

Tools to create and query database from the U.S. National Library of Medicine's Clinical Trials database <https://clinicaltrials.gov/>. Functions provide access a variety of techniques for searching the data using range queries, categorical filtering, and by searching for full-text keywords. Minimal graphical tools are also provided for interactively exploring the constructed data.

Last updated 3 years ago

3.46 score 29 scripts 207 downloads

coreNLP - Wrappers Around Stanford CoreNLP Tools

Provides a minimal interface for applying annotators from the 'Stanford CoreNLP' java library. Methods are provided for tasks such as tokenisation, part of speech tagging, lemmatisation, named entity recognition, coreference detection and sentiment analysis.

Last updated 2 years ago

3.02 score 1 stars 52 scripts 503 downloads

leaderCluster - Leader Clustering Algorithm

The leader clustering algorithm provides a means for clustering a set of data points. Unlike many other clustering algorithms it does not require the user to specify the number of clusters, but instead requires the approximate radius of a cluster as its primary tuning parameter. The package provides a fast implementation of this algorithm in n-dimensions using Lp-distances (with special cases for p=1,2, and infinity) as well as for spatial data using the Haversine formula, which takes latitude/longitude pairs as inputs and clusters based on great circle distances.

Last updated 2 years ago

2.70 score 1 stars 4 scripts 266 downloads