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 …
Depression detection based on hybrid deep learning SSCL framework using self-attention mechanism: An application to social networking data
In today's world, mental health diseases have become highly prevalent, and depression is
one of the mental health problems that has become widespread. According to WHO reports …
one of the mental health problems that has become widespread. According to WHO reports …
Sarcasm detection using deep learning and ensemble learning
Across the globe, there is a noticeable upward trend of incorporating sarcasm in everyday
life. This trend can be easily attributed to the frequent use of sarcasm in everyday life, but …
life. This trend can be easily attributed to the frequent use of sarcasm in everyday life, but …
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 …
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 …
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 …
A rebalancing framework for classification of imbalanced medical appointment no-show data
U Krishnan, P Sangar - Journal of Data and Information Science, 2021 - sciendo.com
A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show
Data Page 1 178 Research Paper JDIS Journal of Data and Information Science A …
Data Page 1 178 Research Paper JDIS Journal of Data and Information Science A …
Comparative sentiment analysis through traditional and machine learning‐based approach
People's opinions and sentiments toward products, organizations, and their services can be
evaluated through a classification of texts, speeches, and sign‐language technologies …
evaluated through a classification of texts, speeches, and sign‐language technologies …