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Success with Style: Using Writing Style to Predict the Success of Novels Vikas Ganjigunte Ashok Song Feng Yejin Choi Department of Computer Science Stony Brook University
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Document Date: 2013-10-09 22:17:10


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City

Seattle / Ostendorf / /

Company

Amazon / IMDb / Google / Wilson / /

Country

United States / /

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Event

Movie Release / /

Holiday

Independence Day / /

IndustryTerm

thought-processing / prediction algorithms / unpublished online novels / /

MarketIndex

FOG / /

Movie

The Old Man and the Sea / Harvey / Other Voices / Other Rooms / A Tale of Two Cities / /

NaturalFeature

Sierra et al. / /

Organization

Stony Brook University office of the Vice / idf / Novels Vikas Ganjigunte Ashok Song Feng Yejin Choi Department of Computer Science Stony Brook University Stony Brook / Stanford / Association for Computational Linguistics / /

Person

Dan Brown / Arun Nampally / Philip Roth Su / Robert Stevenson / Charles Dickens / Plural Proper / Mike Collins / Daniel Defoe / Bernard Malamud / Hyde / Philip Roth / Ernest Hemingway / Paul Harding / Steve Greenspan / Miguel De Cervantes / Jackel / Nouns Coord / Alex Berg / Richard Ford / John Updike / Superlative Less / Ashok Song Feng Yejin Choi / /

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Position

VP / CATEGORY General General / present Modal General General General / single author / General / Phrasal ADJP ADJP ADVP CONJP FRAG LST NAC NP NX PP PRN PRT QP RRC UCP VP / author / same author / VP WHADJP WHAVP WHNP WHPP / representative / VP / adverb phrases / /

ProvinceOrState

Washington / /

PublishedMedium

Computational Linguistics / the Philosopher / /

Technology

Crusoe / prediction algorithms / Natural Language Processing / /

URL

http /

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