README.md

In paskn/topicl: Tools for Finding Stable Topics and Analyzing them

topicl

The goal of topicl is to provide tools for identifying stable (reproducible) topics and for their analysis.

Installation

You can install the development version of topicl from GitHub with:

# install.packages("pak")
pak::pak("paskn/topicl")

Example

See vignette for details.

This is a basic example which shows you how to solve a common problem:

library(topicl)
library(stm)
library(dplyr)

modA <- stm(poliblog5k.docs, 
            poliblog5k.voc, K=25,
            prevalence=~rating, 
            data=poliblog5k.meta,
            max.em.its=2, 
            init.type="Random",
            seed = 9934,
            verbose = F) 

modB <- stm(poliblog5k.docs, 
            poliblog5k.voc, K=25,
            prevalence=~rating, 
            data=poliblog5k.meta,
            max.em.its=2, 
            init.type="Random",
            seed = 9576,
            verbose = F) 

compare_solutions(list(modA, modB), depth=500) |> 
  arrange(desc(jaccard)) |> 
  head()
#> # A tibble: 6 × 5
#>   model_id_A topic_id_A model_id_B topic_id_B jaccard
#>   <chr>      <chr>      <chr>      <chr>        <dbl>
#> 1 mod_1      topic_4    mod_2      topic_24     0.161
#> 2 mod_1      topic_7    mod_2      topic_6      0.152
#> 3 mod_1      topic_4    mod_2      topic_3      0.144
#> 4 mod_1      topic_24   mod_2      topic_24     0.143
#> 5 mod_1      topic_3    mod_2      topic_5      0.142
#> 6 mod_1      topic_4    mod_2      topic_9      0.142

paskn/topicl documentation built on Feb. 1, 2025, 9:33 p.m.