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 …
BERT-LSTM model for sarcasm detection in code-mixed social media post
Sarcasm is the acerbic use of words to mock someone or something, mostly in a satirical
way. Scandal or mockery is used harshly, often crudely and contemptuously, for destructive …
way. Scandal or mockery is used harshly, often crudely and contemptuously, for destructive …
Hybrid attention-based long short-term memory network for sarcasm identification
Sentiment analysis of people's opinion is used in a lot of business and decision-making
scenarios. Although social media is an informal medium in which to express one's opinions …
scenarios. Although social media is an informal medium in which to express one's opinions …
Polarity classification on twitter data for classifying sarcasm using clause pattern for sentiment analysis
Nowadays, an enormous amount of data is available on the WWW and exponentially
growing as well. A lot of users use social networking websites such as Twitter, Facebook …
growing as well. A lot of users use social networking websites such as Twitter, Facebook …
A hybrid convolutional neural network for sarcasm detection from multilingual social media posts
Sarcasm in social media postings significantly impacts automated sentiment extraction due
to its potential to invert the overall polarity of phrases. It poses a formidable challenge in …
to its potential to invert the overall polarity of phrases. It poses a formidable challenge in …
Improved ensemble based deep learning approach for sarcastic opinion classification
SU Maheswari, SS Dhenakaran - Multimedia Tools and Applications, 2024 - Springer
Sarcastic tweets or reviews confuse the public those who interested to buy the products from
online and prior know about the customer's opinion about the products. E-Commerce …
online and prior know about the customer's opinion about the products. E-Commerce …
Leveraging synonyms and antonyms for data augmentation in sarcasm identification
A Onan - Computer Science On-line Conference, 2023 - Springer
Sarcasm identification is a challenging task in natural language processing due to its
complex and nuanced nature. This study addresses the challenge of sarcasm identification …
complex and nuanced nature. This study addresses the challenge of sarcasm identification …
[PDF][PDF] Sarcasm Detection in Dravidian Code-Mixed Text Using Transformer-Based Models.
AB Bhaumik, M Das - FIRE (Working Notes), 2023 - ceur-ws.org
The words we express derive most of their meaning from the context we convey rather than
their literal interpretation. Sarcasm represents one of the intriguing facets of human …
their literal interpretation. Sarcasm represents one of the intriguing facets of human …
Enhanced Deep Learning-Based Model for Sentiment Analysis to Identify Sarcasm Appeared in the News
In the field of natural language processing (NLP), detecting emotions or sentiments can be a
challenging task, and sometimes emotions can be more complex than just positive or …
challenging task, and sometimes emotions can be more complex than just positive or …
Performance Evaluation of Word Embeddings for Sarcasm Detection-A Deep Learning Approach
AA Johnson, R Karthik - Proceedings of the First International Conference …, 2021 - eudl.eu
Sarcasm detection is a critical step to sentiment analysis, with the aim of understanding, and
exploiting the available information from platforms such as social media. The accuracy of …
exploiting the available information from platforms such as social media. The accuracy of …