# Unstructured

- [Theme](https://quantit.gitbook.io/quanda/kr-stock/unstructured/theme.md)
- [Theme Analytics Metrics](https://quantit.gitbook.io/quanda/kr-stock/unstructured/theme/theme-analytics-metrics.md): This dataset provides various metrics and scores related to companies, businesses, themes, and items, including keyword analysis and sales ratios.
- [Company Keyword](https://quantit.gitbook.io/quanda/kr-stock/unstructured/theme/company-keyword.md): This dataset provides various metrics related to company keywords, including their relevance scores, sales ratios, and total sales.
- [EWS (Early Warning Signal)](https://quantit.gitbook.io/quanda/kr-stock/unstructured/ews-early-warning-signal.md)
- [Korea Sentiment Index](https://quantit.gitbook.io/quanda/kr-stock/unstructured/ews-early-warning-signal/korea-sentiment-index.md): This dataset provides various sentiment and tone metrics related to the Korean market and the S\&P 500.
- [Korea EWS Index](https://quantit.gitbook.io/quanda/kr-stock/unstructured/ews-early-warning-signal/korea-ews-index.md): This dataset provides early warning signals (EWS) for the Korean market and a specific subset for the S\&P 500, including Principal Component Analysis (PCA) related data, proxy, and sentiment metrics.
- [Keyterm Sentiment Analytics Metrics](https://quantit.gitbook.io/quanda/kr-stock/unstructured/ews-early-warning-signal/keyterm-sentiment-analytics-metrics.md): This dataset provides metrics on news articles, segmented by sentiment (positive, negative, neutral) and category, including rates and counts of materials.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://quantit.gitbook.io/quanda/kr-stock/unstructured.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.