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README.md

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There are three components presented here. The tagging interface, the machine
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learning components, and the analysis tools.
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## 1) The Tagging interface (./Tagging Interface)
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## The Tagging interface (./Tagging Interface)
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This is the PHP, HTML, and JavaScript web application
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that we used to manually tag tweets to train the classifiers.
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database and the user interface. This would also allow for direct
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integration of the machine learning tools and the tagging interface.
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## 2) The Machine Learning components (./python)
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## The Machine Learning components (./python)
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This is the set of tools used to train, test, and produce output from
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the classifiers. It relies on a series of dependencies that are described
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in the ./python/requirements.txt
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## 3) The Statistical Analysis (./R)
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## The Statistical Analysis (./R)
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These are scripts used for checking the inter-rater reliability of our
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These are scripts used for checking the inter-rater reliability (icc) of our
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manual tags, and evaluating correlations between our tagged (or
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predicted results) and LIWC results over the same data.
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## Data
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There is a placeholder SQLite3 database (./Tagging Interface/alz.db). We are not able to
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host this database publicly, contact us ([email protected]) for more
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information.

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