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--- |
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license: mit |
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language: |
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- en |
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tags: |
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- text-classification |
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- social-science |
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- politics |
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- sentiment-analysis |
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- benchmark |
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task_categories: |
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- text-classification |
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task_ids: |
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- multi-class-classification |
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- sentiment-classification |
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annotations_creators: |
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- human-annotated |
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multilinguality: monolingual |
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--- |
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[](https://github.com/iqss-research/readme-software) |
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# Automated Nonparametric Content Analysis Datasets |
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This repository provides the four benchmark datasets used in: |
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> Connor T. Jerzak, Gary King, and Anton Strezhnev. **An Improved Method of Automated Nonparametric Content Analysis for Social Science.** *Political Analysis*, 31(1): 42–58, 2023. |
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Each dataset is formatted for easy loading in Python and R (CSV). Labels are integer-coded from `1,...,K`; text is provided as raw strings. |
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## Datasets |
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| Name | Documents | Categories | Source & Description | |
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| --------------- | --------: | ---------: | ---------------------------------------------------------------------------------------------------------------------------------------------------------------- | |
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| **enron.csv** | 1,426 | 5 | Corporate emails from the Enron corpus, hand-coded into five thematic categories (e.g., business, personal, legal) | |
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| **immigration.csv** | 462 | 5 | Newspaper editorials on immigration policy, hand-coded into five sentiment/policy categories; originally used in Hopkins & King (2010) and Jerzak et al. (2023) | |
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| **clinton.csv** | 1,938 | 7 | Blog posts about Hillary Clinton from 2008, hand-coded into seven topical categories; feature space of \~3,623 word stems | |
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| **stanford.csv** | 11,855 | 5 | Sentences from the Stanford Sentiment Treebank, labeled on a five-point sentiment scale; commonly used in text quantification research | |
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--- |
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### Citation |
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Connor T. Jerzak, Gary King, Anton Strezhnev. *An Improved Method of Automated Nonparametric Content Analysis for Social Science*. Political Analysis, 31(1): 42–58, 2023. [\[PDF\]](https://gking.harvard.edu/sites/scholar.harvard.edu/files/gking/files/div-class-title-an-improved-method-of-automated-nonparametric-content-analysis-for-social-science-div.pdf) |
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``` |
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@article{JSK-readme2, |
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title={An Improved Method of Automated Nonparametric Content Analysis for Social Science}, |
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author={Jerzak, Connor T. and Gary King and Anton Strezhnev}, |
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journal={Political Analysis}, |
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year={2023}, |
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volume={31}, |
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number={1}, |
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pages={42-58} |
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} |
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``` |
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