Showing 6 of total 6 results (show query)
laresbernardo
lares:Analytics & Machine Learning Sidekick
Auxiliary package for better/faster analytics, visualization, data mining, and machine learning tasks. With a wide variety of family functions, like Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn), Exploratory, API, and Scrapper, it helps the analyst or data scientist to get quick and robust results, without the need of repetitive coding or advanced R programming skills.
Maintained by Bernardo Lares. Last updated 1 months ago.
analyticsapiautomationautomldata-sciencedescriptive-statisticsh2omachine-learningmarketingmmmpredictive-modelingpuzzlerlanguagerobynvisualization
233 stars 9.92 score 185 scripts 1 dependents
trinker
qdap:Bridging the Gap Between Qualitative Data and Quantitative Analysis
Automates many of the tasks associated with quantitative discourse analysis of transcripts containing discourse including frequency counts of sentence types, words, sentences, turns of talk, syllables and other assorted analysis tasks. The package provides parsing tools for preparing transcript data. Many functions enable the user to aggregate data by any number of grouping variables, providing analysis and seamless integration with other R packages that undertake higher level analysis and visualization of text. This affords the user a more efficient and targeted analysis. 'qdap' is designed for transcript analysis, however, many functions are applicable to other areas of Text Mining/ Natural Language Processing.
Maintained by Tyler Rinker. Last updated 5 years ago.
qdapquantitative-discourse-analysistext-analysistext-miningtext-plottingopenjdk
176 stars 9.47 score 1.3k scripts 3 dependents
kurthornik
NLP:Natural Language Processing Infrastructure
Basic classes and methods for Natural Language Processing.
Maintained by Kurt Hornik. Last updated 4 months ago.
6 stars 9.42 score 1.0k scripts 127 dependents
polmine
polmineR:Verbs and Nouns for Corpus Analysis
Package for corpus analysis using the Corpus Workbench ('CWB', <https://cwb.sourceforge.io>) as an efficient back end for indexing and querying large corpora. The package offers functionality to flexibly create subcorpora and to carry out basic statistical operations (count, co-occurrences etc.). The original full text of documents can be reconstructed and inspected at any time. Beyond that, the package is intended to serve as an interface to packages implementing advanced statistical procedures. Respective data structures (document-term matrices, term-co-occurrence matrices etc.) can be created based on the indexed corpora.
Maintained by Andreas Blaette. Last updated 1 years ago.
49 stars 7.96 score 311 scripts
chris31415926535
storywranglr:Explore Twitter Trends with the 'Storywrangler' API
An interface to explore trends in Twitter data using the 'Storywrangler' Application Programming Interface (API), which can be found here: <https://github.com/janeadams/storywrangler>.
Maintained by Christopher Belanger. Last updated 4 years ago.
2.70 score 3 scripts
tconwell
textTools:Functions for Text Cleansing and Text Analysis
A framework for text cleansing and analysis. Conveniently prepare and process large amounts of text for analysis. Includes various metrics for word counts/frequencies that scale efficiently. Quickly analyze large amounts of text data using a text.table (a data.table created with one word (or unit of text analysis) per row, similar to the tidytext format). Offers flexibility to efficiently work with text data stored in vectors as well as text data formatted as a text.table.
Maintained by Timothy Conwell. Last updated 4 years ago.
1.00 score 4 scripts