Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

DeepDyve requires Javascript to function. Please enable Javascript on your browser to continue.

Investigations in Computational Sarcasm

Part of the Cognitive Systems Monographs Book Series (volume 37)

DOI: 10.1007/978-981-10-8396-9

ISBN: 978-981-10-8395-2

Publisher: Springer Singapore - Springer Journals

Mar 17, 2018

LitStream

Chapter 1Introduction

Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark J.

Pages: 1 –31

[The rise of Web 2.0 enabled Internet users to generate content, which often contained emotion. Considering the value of this content, automatic prediction of sentiment, i.e., sentiment analysis, became a popular area of research in natural language processing. A recent advancement in sentiment...
LitStream

Chapter 2Understanding the Phenomenon of Sarcasm

Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark J.

Pages: 33 –57

[In the monograph so far, we introduced computational sarcasm and presented past work related to sarcasm in linguistics and computational linguistics. In this chapter, we aim to understand the phenomenon of sarcasm through three studies. Before we take on the problems of sarcasm detection and...
LitStream

Chapter 3Sarcasm Detection Using Incongruity Within Target Text

Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark J.

Pages: 59 –91

[Prior work in sarcasm detection uses indicators such as (a) unigrams and pragmatic features (such as emoticons, etc.) by González-Ibánez et al. (Proceedings of the 49th annual meeting of the association for computational linguistics: human language technologies: short papers-volume 2, pp...
LitStream

Chapter 4Sarcasm Detection Using Contextual Incongruity

Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark J.

Pages: 93 –118

[In the previous chapter, we presented approaches that capture incongruity within target text. However, as observed in errors reported by these approaches, some sarcastic text may require additional contextual information so that the sarcasm to be understood. This is true in case of sentences...
LitStream

Chapter 5Sarcasm Generation

Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark J.

Pages: 119 –127

[In the previous chapters, we described our studies to understand the phenomenon of sarcasm, followed by a set of approaches to detect sarcasm. In this chapter, we describe our efforts in a new problem in computational sarcasm: sarcasm generation. We define sarcasm generation as the computational...
LitStream

Chapter 6Conclusion and Future Work

Joshi, Aditya; Bhattacharyya, Pushpak; Carman, Mark J.

Pages: 129 –135

[This chapter concludes the monograph. We first summarize previous chapters, draw conclusions and describe possible future directions.]

results per page

Prev
1
Next

Browse All eBooks