Showing 10 of total 10 results (show query)
bstewart
stm:Estimation of the Structural Topic Model
The Structural Topic Model (STM) allows researchers to estimate topic models with document-level covariates. The package also includes tools for model selection, visualization, and estimation of topic-covariate regressions. Methods developed in Roberts et. al. (2014) <doi:10.1111/ajps.12103> and Roberts et. al. (2016) <doi:10.1080/01621459.2016.1141684>. Vignette is Roberts et. al. (2019) <doi:10.18637/jss.v091.i02>.
Maintained by Brandon Stewart. Last updated 1 years ago.
83.1 match 404 stars 12.63 score 1.6k scripts 6 dependents
stm
imagefluency:Image Statistics Based on Processing Fluency
Get image statistics based on processing fluency theory. The functions provide scores for several basic aesthetic principles that facilitate fluent cognitive processing of images: contrast, complexity / simplicity, self-similarity, symmetry, and typicality. See Mayer & Landwehr (2018) <doi:10.1037/aca0000187> and Mayer & Landwehr (2018) <doi:10.31219/osf.io/gtbhw> for the theoretical background of the methods.
Maintained by Stefan Mayer. Last updated 1 years ago.
fluencyimage-analysisimage-analytics
22.0 match 10 stars 5.00 score 9 scripts
abuchmueller
Twitmo:Twitter Topic Modeling and Visualization for R
Tailored for topic modeling with tweets and fit for visualization tasks in R. Collect, pre-process and analyze the contents of tweets using LDA and structural topic models (STM). Comes with visualizing capabilities like tweet and hashtag maps and built-in support for 'LDAvis'.
Maintained by Andreas Buchmueller. Last updated 3 years ago.
ctmgeospatialldanlpstmtopic-modelingtwittertwitter-api
15.2 match 20 stars 4.69 score 49 scripts
juliasilge
tidytext:Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools
Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. Much of the infrastructure needed for text mining with tidy data frames already exists in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package, we provide functions and supporting data sets to allow conversion of text to and from tidy formats, and to switch seamlessly between tidy tools and existing text mining packages.
Maintained by Julia Silge. Last updated 11 months ago.
natural-language-processingtext-miningtidy-datatidyverse
1.8 match 1.2k stars 16.86 score 17k scripts 61 dependents
cschwem2er
stminsights:A 'Shiny' Application for Inspecting Structural Topic Models
This app enables interactive validation, interpretation and visualization of structural topic models from the 'stm' package by Roberts and others (2014) <doi:10.1111/ajps.12103>. It also includes helper functions for model diagnostics and extracting data from effect estimates.
Maintained by Carsten Schwemmer. Last updated 9 months ago.
natural-language-processingshinytopic-modeling
4.3 match 116 stars 6.69 score 84 scripts
dzangri
stmgui:Shiny Application for Creating STM Models
Provides an application that acts as a GUI for the 'stm' text analysis package.
Maintained by Dan Zangri. Last updated 8 years ago.
7.1 match 5 stars 3.40 score 4 scripts
cran
stmCorrViz:A Tool for Structural Topic Model Visualizations
Generates an interactive visualization of topic correlations/ hierarchy in a Structural Topic Model (STM) of Roberts, Stewart, and Tingley. The package performs a hierarchical clustering of topics which are then exported to a JSON object and visualized using D3.
Maintained by Antonio Coppola. Last updated 9 years ago.
10.0 match 5 stars 1.70 score
manalytics
stppSim:Spatiotemporal Point Patterns Simulation
Generates artificial point patterns marked by their spatial and temporal signatures. The resulting point cloud may exhibit inherent interactions between both signatures. The simulation integrates microsimulation (Holm, E., (2017)<doi:10.1002/9781118786352.wbieg0320>) and agent-based models (Bonabeau, E., (2002)<doi:10.1073/pnas.082080899>), beginning with the configuration of movement characteristics for the specified agents (referred to as 'walkers') and their interactions within the simulation environment. These interactions (Quaglietta, L. and Porto, M., (2019)<doi:10.1186/s40462-019-0154-8>) result in specific spatiotemporal patterns that can be visualized, analyzed, and used for various analytical purposes. Given the growing scarcity of detailed spatiotemporal data across many domains, this package provides an alternative data source for applications in social and life sciences.
Maintained by Monsuru Adepeju. Last updated 8 months ago.
3.3 match 4 stars 4.60 score 5 scripts
jafiorucci
forecTheta:Forecasting Time Series by Theta Models
Routines for forecasting univariate time series using Theta Models.
Maintained by Jose Augusto Fiorucci. Last updated 5 months ago.
3.3 match 1 stars 4.27 score 40 scripts 1 dependents
pwkraft
discursive:Measuring Discursive Sophistication in Open-Ended Survey Responses
A simple approach to measure political sophistication based on open-ended survey responses. Discursive sophistication captures the complexity of individual attitude expression by quantifying its relative size, range, and constraint. For more information on the measurement approach see: Kraft, Patrick W. 2023. "Women Also Know Stuff: Challenging the Gender Gap in Political Sophistication." American Political Science Review (forthcoming).
Maintained by Patrick Kraft. Last updated 2 years ago.
1.8 match 2 stars 3.00 score 5 scripts