Topic Consolidation: Turning Thousands of Chunks into Structured Knowledge

Example Code: Topic Clustering

To demonstrate the topic consolidation workflow using Quartalis, let’s walk through an example.

Step 1: Import Necessary Packages

library(quartalis)

Step 2: Load Your Document Collection

# Assuming you've already loaded your documents into a corpus variable
corpus <- load_documents("path/to yOur document collection")

Step 3: Preprocess the Corpus

processed <- preprocess_corpus(corpus, 
                             remove_stop_words = TRUE,
                             lemmatize = TRUE)

Step 4: Apply Topic Clustering Algorithm

clusters <- cluster_topics(processed, k = 5)  # Adjust 'k' based on your needs

Step 5: Generate Consolidated Summaries for Each Cluster

summaries <- generate_summary_clusters(clusters)

Step 6: Save the Results

save_results(summaries, "path/to/save/your/clusters")

This code snippet illustrates how Quartalis can be used to automate topic consolidation.