Other packages > Find by keyword >

BTM  

Biterm Topic Models for Short Text
View on CRAN: Click here


Download and install BTM package within the R console
Install from CRAN:
install.packages("BTM")

Install from Github:
library("remotes")
install_github("cran/BTM")

Install by package version:
library("remotes")
install_version("BTM", "0.3.8")



Attach the package and use:
library("BTM")
Maintained by
Jan Wijffels
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-28
Latest Update: 2023-02-11
Description:
Biterm Topic Models find topics in collections of short texts. It is a word co-occurrence based topic model that learns topics by modeling word-word co-occurrences patterns which are called biterms. This in contrast to traditional topic models like Latent Dirichlet Allocation and Probabilistic Latent Semantic Analysis which are word-document co-occurrence topic models. A biterm consists of two words co-occurring in the same short text window. This context window can for example be a twitter message, a short answer on a survey, a sentence of a text or a document identifier. The techniques are explained in detail in the paper 'A Biterm Topic Model For Short Text' by Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng (2013) .
How to cite:
Jan Wijffels (2018). BTM: Biterm Topic Models for Short Text. R package version 0.3.8, https://cran.r-project.org/web/packages/BTM. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.2.1 (2019-05-31 13:10), 0.2 (2018-12-28 00:20), 0.3.1 (2020-05-02 08:40), 0.3.3 (2020-10-10 23:40), 0.3.4 (2020-10-12 01:30), 0.3.5 (2021-02-18 10:10), 0.3.6 (2021-07-02 11:20), 0.3.7 (2023-02-11 15:40), 0.3 (2020-03-15 10:10)
Other packages that cited BTM R package
View BTM citation profile
Other R packages that BTM depends, imports, suggests or enhances
Complete documentation for BTM
Functions, R codes and Examples using the BTM R package
Some associated functions: BTM . logLik.BTM . predict.BTM . terms.BTM . terms.data.frame . 
Some associated R codes: RcppExports.R . btm.R . pkg.R .  Full BTM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

msm  
Multi-State Markov and Hidden Markov Models in Continuous Time
Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal d ...
Download / Learn more Package Citations See dependency  
envirem  
Generation of ENVIREM Variables
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency  
crossurr  
Cross-Fitting for Doubly Robust Evaluation of High-Dimensional Surrogate Markers
Doubly robust methods for evaluating surrogate markers as outlined in: Agniel D, Hejblum BP, Thiebau ...
Download / Learn more Package Citations See dependency  
ibb  
R Wrapper for Istanbul Municipality Open Data Portal
Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal (Turkish: Istanbul B ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA