Investigations In Computational Sarcasm

April 3, 2018|
Investigations In Computational Sarcasm by Aditya Joshi
$212.95 save 12%
Earn 932 plum® points
Buy Online
Ship to an address
Free shipping on orders over $35
Pick up in store
To see if pickup is available,
In-Store Availability
Not sold in stores
Prices and offers may vary in store


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 labelling, and word embeddings. These approaches operate at multiple levels: (a) sentiment incongruity (based on sentiment mixtures), (b) semantic incongruity (based on word embedding distance), (c) language model incongruity (based on unexpected language model), (d) author''s historical context (based on past text by the author), and (e) conversational context (based on cues from the conversation). In the second part of the book, the authors present the first known technique for sarcasm generation, which uses a template-based approach to generate a sarcastic response to user input. This book will prove to be a valuable resource for researchers working on sentiment analysis, especially as applied to automation in social media.

Aditya Joshi has been a PhD student at IITB-Monash Research Academy, Mumbai, a joint PhD programme run by the Indian Institute of Technology Bombay (IIT Bombay) and Monash University, Australia, since January 2013. His primary research focus is computational sarcasm, and he has explored different ways in which incongruity can b...
Title:Investigations In Computational SarcasmFormat:HardcoverProduct dimensions:143 pages, 9.25 X 6.1 X 0 inShipping dimensions:143 pages, 9.25 X 6.1 X 0 inPublished:April 3, 2018Publisher:Springer NatureLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9811083959

ISBN - 13:9789811083952

Appropriate for ages: All ages

Look for similar items by category: