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Jeffrey Binder’s piece about text mining had a few points that stood out to me. These were in the discussion on Topic Modeling, its applications as a literary tool, and its common criticisms. By analyzing the different words included in digital documents, one is able to discern the topics that are discussed inside. What is impressive about these programs to me is that they are able to extract the text and then create new ones for further analysis. However, one must consider what documents they are mining from. Are the works creative or quantitative? Are they trustworthy? The data collected must be interpreted to a standard of source type. Having a better grasp on computational ideas allows one to better mine and interpret the resulting text. One must understand that a computer’s standard for language is directly related to the code it runs.