BTM VS quanteda

Compare BTM vs quanteda and see what are their differences.

BTM

Biterm Topic Modelling for Short Text with R (by bnosac)
R topic-modeling Natural Language Processing biterm-topic-modelling
Source Code
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quanteda

An R package for the Quantitative Analysis of Textual Data (by quanteda)
R text-analytics Natural Language Processing Corpus quanteda
Source Code
quanteda.io
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BTM quanteda
1 5
88 824
- 0.4%
0.0 9.7
about 1 year ago 9 days ago
C++ R
Apache License 2.0 GNU General Public License v3.0 only
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.

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.

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.

What are some alternatives?

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

vroom - Vehicle Routing Open-source Optimization Machine

dplyr - dplyr: A grammar of data manipulation

rstan - RStan, the R interface to Stan

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

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.

wesanderson - A Wes Anderson color palette for R

Rcpp - Seamless R and C++ Integration

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

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

ggplot2 - An implementation of the Grammar of Graphics in R

rmarkdown - Dynamic Documents for R

BTM vs vroom quanteda vs dplyr BTM vs rstan quanteda vs empirist-corpus BTM vs LightGBM quanteda vs wesanderson BTM vs Rcpp quanteda vs tidytext BTM vs readxl quanteda vs ggplot2 quanteda vs rmarkdown