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Recognizing Literary Tropes in Plot Synopses. Sam Carton April 12, 2013. Outline. Introduction Data Method Experiment Results Conclusion. Data – TVTropes.org. TVTropes.org ~30,000 tropes overall 6,583 pages for films, books, video games
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Recognizing Literary Tropes in Plot Synopses Sam Carton April 12, 2013
Outline • Introduction • Data • Method • Experiment • Results • Conclusion
Data – TVTropes.org • TVTropes.org • ~30,000 tropes overall • 6,583 pages for films, books, video games • 983 tropes that occur >50 times in that collection
Data - Wikipedia • ~40,000,000 English-language pages • 41 gigs uncompressed text
Data - Disambiguation • Non-trivial ?
Method – N-grams • Instead of individual words, look at sequences of words • Unigram • After witnessing the power of their guns , the human tribe does not want the expedition to leave , and tries to keep them on the plateau .“BECOMES[After],[witnessing],[the],[power]… • Bigram • After witnessing the power of their guns , the human tribe does not want the expedition to leave , and tries to keep them on the plateau .“BECOMES[After witnessing], [witnessing the], [the power], [power of]…
Experiment • Main Experiment • Performance of N-gram/preprocessing combinations • Trope frequency experiment • Performance of models on more-frequent/less-frequent tropes • Media type experiment • Performance of models on different media types
Conclusion • Hard problem • More data needed • Positive examples • More sophisticated models • One size fits all?
Future work • Additional text data • Consider inter-trope correlations • More media types