Topic Modeling Summary

Death: found dead body lay man blood death blow knife unfortunate terrible person lying finally cut weapon evidence constable remained wound

Body Parts and Reactions: eyes face hands voice cried lips shoulders sat turned air amazement sprang companion stared sunk raised sank eager instant shrugged cheeks staring astonishment angry breast

Effeminate: lady wife woman maid left difficulty ferguson life girl mistress couple difficult forever nurse half devoted frances ill dear frightened coffin beautiful show longer notice

The number of topics affects the topics the tools give you because when you are trying to name a topic and there are more words, you have to analyze them more since the possibilities of a topic name are broader due to the different words. When working with this program, we recommend using more topic words when filling in the settings to get your results. The more words, the more options you have and the easier it is to come up with a common theme. With the increase of iterations, the results can be concise, even if you have a large number of topics.

Two Questions about the data:

1. What types of words are most important when attempting to name a topic? The results are always a noun, adjective, or verb, so which words are the most important when you are trying to figure out what the story is about?

2. How does the number of iterations affect the topics directly? Does it make it more concise? efficient? quicker?

Unfortunately, when trying to re-access the program, it would not allow us to reopen the files. Since we had finished the project in class, we were not prepared to double check the saving of the program onto our Google Drive account. When we tried to reopen it, the file led to the page with the list of words, but would not give us any further information such as the stories the words occurred most in.

– Melanie and Allyson

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