Sarcasm detection using machine learning algorithms in Twitter: A systematic review
SM Sarsam, H Al-Samarraie… - … Journal of Market …, 2020 - journals.sagepub.com
Recognizing both literal and figurative meanings is crucial to understanding users' opinions
on various topics or events in social media. Detecting the sarcastic posts on social media …
on various topics or events in social media. Detecting the sarcastic posts on social media …
Sarcasm identification in textual data: systematic review, research challenges and open directions
Sarcasm is a form of sentiment whereby people express the implicit information, usually the
opposite of the message content in order to hurt someone emotionally or criticise something …
opposite of the message content in order to hurt someone emotionally or criticise something …
Review of English literature on figurative language applied to social networks
M del Pilar Salas-Zárate, G Alor-Hernández… - … and Information Systems, 2020 - Springer
For a long time, figurative language was studied merely from linguistic perspectives, yet it
has lately captured the attention of other fields, such as natural language processing …
has lately captured the attention of other fields, such as natural language processing …
Common core state standards on Twitter: Public sentiment and opinion leaders
Y Wang, DJ Fikis - Educational Policy, 2019 - journals.sagepub.com
The purpose of this study is to examine the public opinion on the Common Core State
Standards (CCSS) on Twitter. Using Twitter Application Program Interface (API), we …
Standards (CCSS) on Twitter. Using Twitter Application Program Interface (API), we …
Deep Contextualised Text Representation and Learning for Sarcasm Detection
These days, the world has become a non-denominational place due to cyberspace. Digital
services such as search portals and social platforms have become intricate with the regular …
services such as search portals and social platforms have become intricate with the regular …
Advancements and challenges in Arabic sentiment analysis: A decade of methodologies, applications, and resource development
The exponential growth of digital information, particularly user-generated content on social
media and blogging platforms, has underscored the importance of sentiment analysis (SA) …
media and blogging platforms, has underscored the importance of sentiment analysis (SA) …
Literature survey of sarcasm detection
P Chaudhari, C Chandankhede - … International conference on …, 2017 - ieeexplore.ieee.org
Sarcasm is a form of language in which individual convey their message in an implicit way ie
the opposite of what is implied. Sarcasm detection is the task of predicting sarcasm in text …
the opposite of what is implied. Sarcasm detection is the task of predicting sarcasm in text …
Brainish: formalizing a multimodal language for intelligence and consciousness
PP Liang - arXiv preprint arXiv:2205.00001, 2022 - arxiv.org
Having a rich multimodal inner language is an important component of human intelligence
that enables several necessary core cognitive functions such as multimodal prediction …
that enables several necessary core cognitive functions such as multimodal prediction …
Education policy research in the big data era: Methodological frontiers, misconceptions, and challenges
Y Wang - Education Policy Analysis Archives, 2017 - epaa.asu.edu
Despite abundant data and increasing data availability brought by technological advances,
there has been very limited education policy studies that have capitalized on big data …
there has been very limited education policy studies that have capitalized on big data …
A Survey on Sarcasm detection and challenges
E Ilavarasan - 2020 6th International Conference on …, 2020 - ieeexplore.ieee.org
Sarcasm is a way of expressing feelings in which people says or write something, which is
completely different of what they actually intended. Due to the obscurity nature of sarcasm, it …
completely different of what they actually intended. Due to the obscurity nature of sarcasm, it …