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Jordan A. Earnest's Projects

lime_classification_explainer icon lime_classification_explainer

Implementing LIME to explain Naïve Bayes, Random Forest, Logistic Regression, XGBoost, and a Feedforward Neural Network classifiers making binary predictions.

nlp-naive-bayes icon nlp-naive-bayes

A Naive Bayes classifier to classify tweets as offensive vs. non-offensive.

nlp-probabilistic-cyk-parser icon nlp-probabilistic-cyk-parser

Implementing a version of the CYK Parser that supports a grammar with probabilities assigned to each non-terminal’s production rules. The probabilities will be used to break ties in ambiguous parses and to assign an overall probability for the whole sentence.

nlp-word-embeddings icon nlp-word-embeddings

Training a model to learn word representations using gradient decent and negative sampling and then try use those representations in intrinsic tasks that measure word similarity and an extrinsic task for sentiment analysis.

omeka-plugin-csvimportplus icon omeka-plugin-csvimportplus

This fork of the plugin for Omeka allows users to import metadata of items from a simple CSV file. Improvements are: choice of separators, import of metadata of files and collections, update of any record, import of files one by one to avoid to overload the server.

web-crawling-and-data-viz icon web-crawling-and-data-viz

This program scrapes and searches information about National Sites (Parks, Heritage Sites, Trails, and other entities) from nps.gov. The user can then look up nearby places using the Google Places API and to display National Sites and Nearby Places on a map using plotly.

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