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 # Milwaukee Bucks Text Classification Project
 
-The goal of this project was to evaluate the performances of different machine learning models on a text classification task. The task was to predict whether a comment in the subreddit r/MkeBucks's postgame thread followed a win or a loss.
+The goal of this project was to evaluate the performances of different machine learning models on a text classification task. The task was to predict whether a comment in the subreddit r/MkeBucks's postgame thread followed a win or a loss. Classifying social media content can be difficult due to the use of informal language, lack of context, and ambiguity, and in this specific domain, there was concern that these problems might be exacerbated in a space of passionate fans. Thus, there are questions as to which methods best handle such difficulties, and so the project will consist of implementing and evaluating different text classification methods on the Reddit comments mentioned above, and the respective performances of the different methods might be of use to others searching to perform text classification on domain-specific social media content. 
 
 Four different models were build and evaluated on this task: