topic-modeling-text-mining
Apply LDA, NMF, and other computational methods to discover patterns in large text corpora with appropriate parameter tuning
npx skills add a5c-ai/babysitter --skill topic-modeling-text-mining --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Topic Modeling and Text Mining Apply LDA, NMF, and other computational methods to discover patterns in large text corpora with appropriate parameter tuning. ## Overview This skill enables computational analysis of large text collections. It encompasses topic modeling, text mining techniques, and pattern discovery to reveal structures and themes in textual data for humanistic inquiry. ## Capabilities ### Topic Modeling - LDA implementation - NMF analysis - Structural topic models - Dynamic topic models - Parameter optimization ### Text Preprocessing - Tokenization - Stopword removal - Lemmatization/stemming - N-gram extraction - Document-term matrices ### Pattern Discovery - Word frequency analysis - Collocation detection - Named entity recognition - Sentiment analysis - Network extraction ### Visualization - Word clouds - Topic distributions - Temporal trends - Network graphs - Interactive displays ## Usage Guidelines ### Analysis Process 1. Prepare text corpus 2. Preprocess documents 3. Select modeling approach 4. Tune parameters 5. Run analysis 6. Interpret results 7. Validate findings ### Parameter Considerations - Number of topics - Iteration counts - Hyperparameters - Cohere
- Overview
- Capabilities
- Topic Modeling
- Text Preprocessing
- Pattern Discovery
- Visualization
- Usage Guidelines
- Analysis Process
- Parameter Considerations
- Interpretation Guidelines
- Integration Points
- Related Processes
- Collaborating Skills
- References
What does the topic-modeling-text-mining skill do?
Apply LDA, NMF, and other computational methods to discover patterns in large text corpora with appropriate parameter tuning
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill topic-modeling-text-mining --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.