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A final project for CSCI 333 and MATH 331. Oberlin College.

Preproc scripts format data and establish the baseline. Experiment scripts (in progress) cluster tweets and write the journal. Data contains formatted and raw data, including a swearword lexicon. The hierarchical data is from Wordnet-Affect. The swearword lexicon is from http://urbanoalvarez.es/blog/2008/04/04/bad-words-list/. It does contain swearwords.

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A final project for a natural language processing class and an optimization class. Uses k-means clustering for unsupervised classification of personal tweets.

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