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Detecting Emotive Sentences with Pattern-based Language Modelling


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タイトル: Detecting Emotive Sentences with Pattern-based Language Modelling
著者: Ptaszynski, Michal 著作を一覧する
Masui, Fumito 著作を一覧する
Rzepka, Rafal 著作を一覧する
Araki, Kenji 著作を一覧する
キーワード: Brute Force Search Algorithms
Pattern Extraction
Language Modelling
Emotive expressions
Language Combinatorics
発行日: 2014年 9月
出版者: Elsevier
誌名: Procedia Computer Science
巻: 35
開始ページ: 484
終了ページ: 493
出版社 DOI: 10.1016/j.procs.2014.08.129
抄録: This paper presents our research in detection of emotive (emotionally loaded) sentences. The task is defined as a text classification problem with an assumption that emotive sentences stand out both lexically and grammatically. The assumption is verified exper- imentally. The experiment is based on n-grams as well as more sophisticated patterns with disjointed elements. To deal with the sophisticated patterns a novel language modelling algorithm based on the idea of language combinatorics is applied. The results of experiments are explained with the standard means of Precision, Recall and balanced F-score. The algorithm also provides a refined list of most frequent sophisticated patterns typical for both emotive and non-emotive context.
Rights: © 2014, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 3.0 license
資料タイプ: article
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: Rafal Rzepka


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