2024-03-28T20:25:27Zhttps://eprints.lib.hokudai.ac.jp/dspace-oai/requestoai:eprints.lib.hokudai.ac.jp:2115/636852022-11-17T02:08:08Zhdl_2115_20053hdl_2115_145Detecting Emotive Sentences with Pattern-based Language ModellingPtaszynski, Michal1000080324549Masui, Fumito1000080396316Rzepka, Rafal1000050202742Araki, Kenjiopen access© 2014, Elsevier. This manuscript version is made available under the CC-BY-NC-ND 3.0 license http://creativecommons.org/licenses/by-nc-nd/3.0/Creative Commons Attribution-NonCommercial-NoDerivs 3.0 UnportedBrute Force Search AlgorithmsPattern ExtractionLanguage ModellingEmotive expressionsLanguage Combinatorics007This 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.Elsevier2014-09engjournal articleVoRhttp://hdl.handle.net/2115/63685https://doi.org/10.1016/j.procs.2014.08.1291877-0509Procedia Computer Science35484493https://eprints.lib.hokudai.ac.jp/dspace/bitstream/2115/63685/1/1-s2.0-S1877050914010941-main.pdfapplication/pdf317.79 KB2014-09