Sarcasm detection: a review, synthesis and future research agenda
GA Sahu, M Hudnurkar - International Journal of Image and …, 2023 - World Scientific
A literature review on sarcasm detection has been undergone in this research work. To have
a meaningful study about the existing works on sarcasm detection, a total of 65 research …
a meaningful study about the existing works on sarcasm detection, a total of 65 research …
Sentiment analysis and sarcasm detection from social network to train health-care professionals
Purpose Sentiment analysis has observed a nascent interest over the past decade in the
field of social media analytics. With major advances in the volume, rationality and veracity of …
field of social media analytics. With major advances in the volume, rationality and veracity of …
Research on trimming path for forked carrots using contour‐based machine learning methods
L Lv, Z Zheng, J Xu, H Fu, L Ren, P Yang… - Journal of Food …, 2024 - Wiley Online Library
Forked carrots are often used as animal feed or discarded directly, which affects the
economic returns of growers and leads to resource waste and environmental pollution. After …
economic returns of growers and leads to resource waste and environmental pollution. After …
[PDF][PDF] Probabilistic model based context augmented deep learning approach for sarcasm detection in social media
K Sundararajan, A Palanisamy - International Journal of …, 2020 - researchgate.net
Sarcasm is an implicit form of sentiment widely used on social media which conveys the
opposite meaning of what is actually conveyed. It is usually aimed at mocking or criticizing …
opposite meaning of what is actually conveyed. It is usually aimed at mocking or criticizing …
Ensembles for Text-Based Sarcasm Detection
PH Lai, JY Chan, KO Chin - 2021 IEEE 19th Student …, 2021 - ieeexplore.ieee.org
Sarcasm is a big challenge for text related classification such as sentiment analysis and
opinion summarization. The nature of sarcasm is to express opinions in a way that carries …
opinion summarization. The nature of sarcasm is to express opinions in a way that carries …
An approach to detect sarcasm in tweets
When academic and business ventures are discussed, electronic documents form the
crucial part of receiving and transferring information. There is no use of online information if …
crucial part of receiving and transferring information. There is no use of online information if …
Relation between the amount of Sarcasm and the Ratings of English TV shows
C Dani, A Gholap, A Sharma… - … Conference on Intelligent …, 2024 - ieeexplore.ieee.org
Sarcasm detection is one of the most challenging parts of Natural Language Processing
(NLP) since it involves understanding the context in which a particular text is delivered. In …
(NLP) since it involves understanding the context in which a particular text is delivered. In …
Sarcasm Messages Detection using Hybrid Features Extraction Deriving from Context and Content Sentences on Social Networks
P Namwong, P Songram - 2023 - 202.28.34.124
This research aims to develop the detection of sarcastic message in Thai language on social
networks. Moreover, context-based and content-based features are extracted from …
networks. Moreover, context-based and content-based features are extracted from …
Sentiment analysis of sarcasm detection in social media
SK Alaramma, AA Habu, BI Ya'u… - Gadau Journal of Pure …, 2023 - gadaufos.com
When people talk or write more especially on social media, they tend to sometimes, flip the
polarity of their expressions. Oftentimes, this change of mood affects the accuracy of the …
polarity of their expressions. Oftentimes, this change of mood affects the accuracy of the …
A Hybrid Approach for Sarcasm Detection
S Luintel, RK Sah, BR Lamichhane - Technical Journal, 2019 - nepjol.info
There is an excessive growth in user generated textual data due to increment in internet and
social media users which includes enormous amount of sarcastic words, emoji, sentences …
social media users which includes enormous amount of sarcastic words, emoji, sentences …