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Journal of Discrete Mathematical Sciences and Cryptography Volume 22, 2019 - Issue 4: Threats & Applications for security
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Articles

Identification of sarcasm using word embeddings and hyperparameters tuning

Pulkit MehndirattaDepartment of Computer Science, Jaypee Institute of Information Technology, Noida201309, Uttar Pradesh, IndiaCorrespondence[email protected]
&
Devpriya SoniDepartment of Computer Science, Jaypee Institute of Information Technology, Noida201309, Uttar Pradesh, India, E-mail: [email protected]
Pages 465-489 | Published online: 01 Sep 2019

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Mahbuba Rahman Purba, Moniya Akter, Rubayea Ferdows & Fuad Ahmed. (2022) A hybrid convolutional long short-term memory (CNN-LSTM) based natural language processing (NLP) model for sentiment analysis of customer product reviews in Bangla. Journal of Discrete Mathematical Sciences and Cryptography 25:7, pages 2111-2120.
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Vivek Kumar Verma, Mrigank Pandey, Tarun Jain & Pradeep Kumar Tiwari. (2021) Dissecting word embeddings and language models in natural language processing. Journal of Discrete Mathematical Sciences and Cryptography 24:5, pages 1509-1515.
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Swati Maurya & Anurag Jain. (2020) Deep learning to combat phishing. Journal of Statistics and Management Systems 23:6, pages 945-957.
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Akshat Agrawal & Anurag Jain. (2020) Speech emotion recognition of Hindi speech using statistical and machine learning techniques. Journal of Interdisciplinary Mathematics 23:1, pages 311-319.
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Articles from other publishers (12)

Richa Sharma, Simrat Deol, Udit Kaushish, Prakher Pandey & Vishal Maurya. (2023) DWAEF: a deep weighted average ensemble framework harnessing novel indicators for sarcasm detection1. Data Science 6:1-2, pages 17-44.
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Geeta Abakash Sahu & Manoj Hudnurkar. (2022) Sarcasm Detection: A Review, Synthesis and Future Research Agenda. International Journal of Image and Graphics 23:06.
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M. S. M. Prasanna, S. G. Shaila & A. Vadivel. (2023) Polarity classification on twitter data for classifying sarcasm using clause pattern for sentiment analysis. Multimedia Tools and Applications 82:21, pages 32789-32825.
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Ravi Teja Gedela, Ujwala Baruah & Badal Soni. (2023) Deep Contextualised Text Representation and Learning for Sarcasm Detection. Arabian Journal for Science and Engineering.
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Ravi Teja Gedela, Pavani Meesala, Ujwala Baruah & Badal Soni. (2023) Identifying sarcasm using heterogeneous word embeddings: a hybrid and ensemble perspective. Soft Computing.
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Satarupa Biswas & G. Poornalatha. (2023) Opinion Mining Using Multi-Dimensional Analysis. IEEE Access 11, pages 25906-25916.
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Priya Goel, Rachna Jain, Anand Nayyar, Shruti Singhal & Muskan Srivastava. (2022) Sarcasm detection using deep learning and ensemble learning. Multimedia Tools and Applications 81:30, pages 43229-43252.
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Ravinder Ahuja & S. C. Sharma. (2021) Transformer-Based Word Embedding With CNN Model to Detect Sarcasm and Irony. Arabian Journal for Science and Engineering 47:8, pages 9379-9392.
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Maria Zanchak, Victoria Vysotska & Solomiia Albota. (2021) The Sarcasm Detection in News Headlines Based on Machine Learning Technology. The Sarcasm Detection in News Headlines Based on Machine Learning Technology.
Rajnish Pandey, Abhinav Kumar, Jyoti Prakash Singh & Sudhakar Tripathi. (2021) Hybrid attention-based Long Short-Term Memory network for sarcasm identification. Applied Soft Computing 106, pages 107348.
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Wenwu Zhu & Xin WangWenwu Zhu & Xin Wang. 2021. Automated Machine Learning and Meta-Learning for Multimedia. Automated Machine Learning and Meta-Learning for Multimedia 97 177 .
Akshat Agrawal & Anurag Jain. 2021. Information and Communication Technology and Applications. Information and Communication Technology and Applications 119 129 .

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