text-mining-guide
Apply NLP and text mining techniques to research text data
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill text-mining-guide --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.
# Text Mining Guide A skill for applying natural language processing (NLP) and text mining techniques to research data. Covers text preprocessing, feature extraction, topic modeling, sentiment analysis, and named entity recognition for analyzing surveys, abstracts, social media, and document corpora. ## Text Preprocessing Pipeline ### Standard Cleaning Steps ```python import re from collections im
What does the text-mining-guide skill do?
Apply NLP and text mining techniques to research text data
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill text-mining-guide --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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.