quanteda VS BTM

Compare quanteda vs BTM and see what are their differences.

quanteda

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

BTM

Biterm Topic Modelling for Short Text with R (by bnosac)
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quanteda BTM
5 1
818 88
1.2% -
9.6 0.0
5 days ago about 1 year ago
R C++
GNU General Public License v3.0 only Apache License 2.0
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.

BTM

Posts with mentions or reviews of BTM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-05.
  • best text mining packages?
    2 projects | /r/Rlanguage | 5 Jul 2021
    For brief description you can refer to the BTM repo. If you want to go into detail just read the paper on BTM which is also linked there. Otherwise i strongly suggest you to keep things tidy/stick with tidytext.

What are some alternatives?

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

dplyr - dplyr: A grammar of data manipulation

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

wesanderson - A Wes Anderson color palette for R

tidytext - Text mining using tidy tools :sparkles::page_facing_up::sparkles:

ggplot2 - An implementation of the Grammar of Graphics in R

vroom - Vehicle Routing Open-source Optimization Machine

rstan - RStan, the R interface to Stan

rmarkdown - Dynamic Documents for R

LightGBM - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Rcpp - Seamless R and C++ Integration

readxl - Read excel files (.xls and .xlsx) into R 🖇