Net Neutrality Language Analysis
نویسندگان
چکیده
The Federal Communications Commission (FCC) has been seeking public comments about net neutrality. It is found that a great majority of these comments were written from format letters potentially provided by several campaign groups. Principle Components Analysis (PCA) was first used to visualize the data set and it is found that the data are obviously clustered. Based on this fact, several classifiers were built up based on k-means clustering, logistic regression, and Naïve Bayes event model to identify if a certain comment is written from format letters.
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