Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

With the rising demand for E-commerce, Social Networking websites, it has become
essential to develop security protocols over the World Wide Web that can provide security …

The process of creating high-quality labeled data is crucial for training machine-learning
models, but it can be a time-consuming and labor-intensive process. Moreover, manual …

Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …

Traffic congestion prediction (TCP) plays a vital role in intelligent transportation systems due
to its importance of traffic management. Methods for TCP have emerged greatly with the …

This work aims to provide a novel multimodal sarcasm detection model that includes four
stages: pre-processing, feature extraction, feature level fusion, and classification. The pre …

One of the most suitable methods for the mass production of complicated shapes is injection
molding due to its superior production rate and quality. The key to producing higher quality …

Sarcasm is a complicated linguistic term commonly found in e-commerce and social media
sites. Failure to identify sarcastic utterances in Natural Language Processing applications …

Sentiment analysis (SA) detects people's opinions from text engaging natural language
processing (NLP) techniques. Recent research has shown that deep learning models, ie …

Context Although recognition works on mathematical expressions have been explored for
four decades, the current literature and trends are varied and frequently influenced by …