Literary Analysis: Using MALLET on Looking Backward

My purpose here is to briefly assess if using the Machine Learning for Language Toolkit (MALLET) for the exploration of literary corpora will correctly formulate the thematic intentions present in a particular book: Looking Backward, 2000-1887 by Edward Bellamy.

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21-Days of Personal Textual Analysis

Over the past 21-days, I have been collecting all of my keystrokes with Mac OSX Keylogger. As a result, I have come to realize my dependence on the delete key, habit of rephrasing and adjusting my word use, and likely over complicating my thought process.

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Quick Count: Daily Keystrokes

It’s been about two weeks since I have last posted. As such, I am posting my weekly usage from January 18th to the 25th while I prepare my next more in-depth post. I have since made this switch from a Windows machine to a Mac, and I am currently running a different keylogger which can be found on GitHub. I will elaborate on this within the next post- hopefully no later than next week.

This graph includes all keystrokes, including non-characters and numbers. The graph was made in excel and edited with illustrator for those curious.

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Week one: Frequency of Parts of Speech

I have been tracking all of my keystrokes over the past week via the Xenotix  Python Keylogger, and I found the results more interesting than I assumed they would be. Even though I only have seven days worth of data collected, it appears that it will be promising in long-term collection and analyzation. 

Continue reading Week one: Frequency of Parts of Speech