@inproceedings{7ff964056d9c4a4caeb95b65e7c30bd6,
title = "Chat-box: Proposing a mood analyzer for individuals with social interaction disabilities",
abstract = "Perception of social cues is a fundamental communicative skill that can be hampered by hearing and cognitive disorders. Understanding slang and sarcastic intent is often difficult in verbal communication, particularly for individuals who struggle with the perception of social cues. Misinterpretation of slang terms can cause discomfort or social isolation. Sarcasm is particularly difficult to recognize due to its inherently ambiguous and context-dependent nature. We have identified two problems of particular interest in social assistive technologies – slang word sentiment assessment and sarcasm detection. We propose combining a slang sentiment analysis model with a speech emotion analysis model to create an assistive tool, Chat-Box, which will detect social cues such as sarcasm, slang, and sentiment.",
keywords = "Assistive technology, Sarcasm, Slang, Slang2Vector, Speech, Wire-frame, Word2Vec",
author = "Bineeta Gupta and Michael Saxon and Troy McDaniel and Sethuraman Panchanathan",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 20th International Conference on HCI, HCI International 2018 ; Conference date: 15-07-2018 Through 20-07-2018",
year = "2018",
doi = "10.1007/978-3-319-92279-9_53",
language = "English (US)",
isbn = "9783319922782",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "394--401",
editor = "Constantine Stephanidis",
booktitle = "HCI International 2018 – Posters{\textquoteright} Extended Abstracts - 20th International Conference, HCI International 2018, Proceedings",
}