A systematic review of emoji: Current research and future perspectives
Q Bai, Q Dan, Z Mu, M Yang - Frontiers in psychology, 2019 - frontiersin.org
A growing body of research explores emoji, which are visual symbols in computer mediated
communication (CMC). In the 20 years since the first set of emoji was released, research on …
communication (CMC). In the 20 years since the first set of emoji was released, research on …
Automatic sarcasm detection: A survey
Automatic sarcasm detection is the task of predicting sarcasm in text. This is a crucial step to
sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing …
sentiment analysis, considering prevalence and challenges of sarcasm in sentiment-bearing …
A term weighted neural language model and stacked bidirectional LSTM based framework for sarcasm identification
A Onan, MA Toçoğlu - Ieee Access, 2021 - ieeexplore.ieee.org
Sarcasm identification on text documents is one of the most challenging tasks in natural
language processing (NLP), has become an essential research direction, due to its …
language processing (NLP), has become an essential research direction, due to its …
A deeper look into sarcastic tweets using deep convolutional neural networks
Sarcasm detection is a key task for many natural language processing tasks. In sentiment
analysis, for example, sarcasm can flip the polarity of an" apparently positive" sentence and …
analysis, for example, sarcasm can flip the polarity of an" apparently positive" sentence and …
Sentiment and sarcasm classification with multitask learning
Sentiment classification and sarcasm detection are both important natural language
processing tasks. Sentiment is always coupled with sarcasm where intensive emotion is …
processing tasks. Sentiment is always coupled with sarcasm where intensive emotion is …
A pattern-based approach for sarcasm detection on twitter
M Bouazizi, TO Ohtsuki - IEEE Access, 2016 - ieeexplore.ieee.org
Sarcasm is a sophisticated form of irony widely used in social networks and microblogging
websites. It is usually used to convey implicit information within the message a person …
websites. It is usually used to convey implicit information within the message a person …
[PDF][PDF] Harnessing context incongruity for sarcasm detection
A Joshi, V Sharma, P Bhattacharyya - Proceedings of the 53rd …, 2015 - aclanthology.org
The relationship between context incongruity and sarcasm has been studied in linguistics.
We present a computational system that harnesses context incongruity as a basis for …
We present a computational system that harnesses context incongruity as a basis for …
[图书][B] Natural language processing for social media
A Farzindar, D Inkpen, G Hirst - 2015 - Springer
In recent years, online social networking has revolutionized interpersonal communication.
The newer research on language analysis in social media has been increasingly focusing …
The newer research on language analysis in social media has been increasingly focusing …
From arabic sentiment analysis to sarcasm detection: The arsarcasm dataset
Sarcasm is one of the main challenges for sentiment analysis systems. Its complexity comes
from the expression of opinion using implicit indirect phrasing. In this paper, we present …
from the expression of opinion using implicit indirect phrasing. In this paper, we present …
Topic-enriched word embeddings for sarcasm identification
A Onan - Software Engineering Methods in Intelligent Algorithms …, 2019 - Springer
Sarcasm is a type of nonliteral language, where people may express their negative
sentiments with the use of words with positive literal meaning, and, conversely, negative …
sentiments with the use of words with positive literal meaning, and, conversely, negative …