منابع مشابه
Prediction of Happy Endings in German Novels
Identifying plot structure in novels is a valuable step towards automatic processing of literary corpora. We present an approach to classify novels as either having a happy ending or not. To achieve this, we use features based on different sentiment lexica as input for an SVMclassifier, which yields an average F1-score of about 73%.
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Language acquisition may be one of the most difficult tasks that children face during development. They have to segment words from fluent speech, figure out the meanings of these words, and discover the syntactic constraints for joining them together into meaningful sentences. Over the past couple of decades computational modeling has emerged as a new paradigm for gaining insights into the mech...
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متن کاملPrediction of Happy Endings in German Novels based on Sentiment Information
Identifying plot structure in novels is a valuable step towards automatic processing of literary corpora. We present an approach to classify novels as either having a happy ending or not. To achieve this, we use features based on different sentiment lexica as input for an SVMclassifier, which yields an average F1-score of about 73%.
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ژورنال
عنوان ژورنال: Nature
سال: 1998
ISSN: 0028-0836,1476-4687
DOI: 10.1038/24312