quanteda VS tidytext

Compare quanteda vs tidytext and see what are their differences.

quanteda

An R package for the Quantitative Analysis of Textual Data (by quanteda)

tidytext

Text mining using tidy tools :sparkles::page_facing_up::sparkles: (by juliasilge)
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quanteda tidytext
5 3
824 1,158
1.2% -
9.7 3.2
11 days ago 18 days ago
R R
GNU General Public License v3.0 only GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

quanteda

Posts with mentions or reviews of quanteda. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-05.

tidytext

Posts with mentions or reviews of tidytext. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-16.

What are some alternatives?

When comparing quanteda and tidytext you can also consider the following projects:

dplyr - dplyr: A grammar of data manipulation

tidyverse - Easily install and load packages from the tidyverse

BTM - Biterm Topic Modelling for Short Text with R

qcoder - Lightweight package to do qualitative coding

empirist-corpus - A web and social media corpus based on the dataset of the EmpiriST 2015 shared task

awesome-computational-social-science - A list of awesome resources for Computational Social Science

wesanderson - A Wes Anderson color palette for R

desctable - An R package to produce descriptive and comparative tables

ggplot2 - An implementation of the Grammar of Graphics in R

QualCoder - Qualitative data analysis for text, images, audio, video. Cross platform. Python 3.10 or newer and PyQt6.

rmarkdown - Dynamic Documents for R

janitor - simple tools for data cleaning in R