Identification of sarcasm using word embeddings and hyperparameters tuning

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/09720529.2019.1637152
  • Publication Date
    2019/05/19
  • Journal
    Journal of Discrete Mathematical Sciences and Cryptography
  • Indian UGC (journal)
  • Refrences
    17
  • Citations
    15
  • Pulkit Mehndiratta Department of Computer Science, Jaypee Institute of Information Technology, Noida 201309, Uttar Pradesh, India
  • Devpriya Soni Department of Computer Science, Jaypee Institute of Information Technology, Noida 201309, Uttar Pradesh, India,
Cite
Mehndiratta, Pulkit, and Devpriya Soni. “Identification of Sarcasm Using Word Embeddings and Hyperparameters Tuning”. Journal of Discrete Mathematical Sciences and Cryptography, vol. 22, no. 4, 2019, pp. 465-89, https://doi.org/10.1080/09720529.2019.1637152.
Mehndiratta, P., & Soni, D. (2019). Identification of sarcasm using word embeddings and hyperparameters tuning. Journal of Discrete Mathematical Sciences and Cryptography, 22(4), 465-489. https://doi.org/10.1080/09720529.2019.1637152
Mehndiratta P, Soni D. Identification of sarcasm using word embeddings and hyperparameters tuning. Journal of Discrete Mathematical Sciences and Cryptography. 2019;22(4):465-89.
Journal Category
Technology
Technology (General)
Industrial engineering
Management engineering
Applied mathematics
Quantitative methods
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2013
Title 2019
Title 2014
Title 2010
Title 2013
Citations
Title Journal Journal Categories Citations Publication Date
A Capsule Neural Network (CNN) based Hybrid Approach for Identifying Sarcasm in Reddit Dataset

 IgMin Research 2024
Identifying sarcasm using heterogeneous word embeddings: a hybrid and ensemble perspective Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 1 2023
Polarity classification on twitter data for classifying sarcasm using clause pattern for sentiment analysis Multimedia Tools and Applications
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
 2 2023
Deep Contextualised Text Representation and Learning for Sarcasm Detection Arabian Journal for Science and Engineering
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Science: Science (General)
  • Technology: Engineering (General). Civil engineering (General)
 1 2023
Opinion Mining Using Multi-Dimensional Analysis IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
 2023
Citations Analysis
Category Category Repetition
Science: Mathematics: Instruments and machines: Electronic computers. Computer science5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software4
Science: Science (General): Cybernetics: Information theory4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware3
Technology: Electrical engineering. Electronics. Nuclear engineering2
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication2
Technology: Technology (General): Industrial engineering. Management engineering2
Science: Science (General)2
Technology: Engineering (General). Civil engineering (General)2
Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods2
Science: Mathematics: Probabilities. Mathematical statistics1
Science: Mathematics1
Technology: Mechanical engineering and machinery1
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 5 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Deep learning to combat phishing and was published in 2020. The most recent citation comes from a 2024 study titled A Capsule Neural Network (CNN) based Hybrid Approach for Identifying Sarcasm in Reddit Dataset. This article reached its peak citation in 2023, with 5 citations. It has been cited in 11 different journals, 18% of which are open access. Among related journals, the Arabian Journal for Science and Engineering cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year