书目名称 | Investigations in Computational Sarcasm |
编辑 | Aditya Joshi,Pushpak Bhattacharyya,Mark J. Carman |
视频video | http://file.papertrans.cn/475/474798/474798.mp4 |
概述 | Provides a tabular summary of the past work on computational sarcasm.Lays down the linguistic foundations for computational sarcasm.Presents elaborate examples motivating each work module.Describes ap |
丛书名称 | Cognitive Systems Monographs |
图书封面 |  |
描述 | ..This book describes the authors’ investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the challenges and opportunities that lie ahead. Sarcastic text is a peculiar form of sentiment expression and computational sarcasm refers to computational techniques that process sarcastic text. To first understand the phenomenon of sarcasm, three studies are conducted: (a) how is sarcasm annotation impacted when done by non-native annotators? (b) How is sarcasm annotation impacted when the task is to distinguish between sarcasm and irony? And (c) can targets of sarcasm be identified by humans and computers. Following these studies, the book proposes approaches for two research problems: sarcasm detection and sarcasm generation. To detect sarcasm, incongruity is captured in two ways: ‘intra-textual incongruity’ where the authors look at incongruity within the text to be classified (i.e., target text) and ‘context incongruity’ where the authors incorporate information outside the target text. These approaches use machine-learning techniques such as classifiers, topic models, sequence labell |
出版日期 | Book 2018 |
关键词 | Sentiment analysis; Sarcasm detection; sarcasm generation; Irony markers; Opinion mining; Computational i |
版次 | 1 |
doi | https://doi.org/10.1007/978-981-10-8396-9 |
isbn_softcover | 978-981-13-4139-7 |
isbn_ebook | 978-981-10-8396-9Series ISSN 1867-4925 Series E-ISSN 1867-4933 |
issn_series | 1867-4925 |
copyright | Springer Nature Singapore Pte Ltd. 2018 |