Sentic computing is a multi-disciplinary approach to sentiment analysis at the crossroads
between affective computing and commonsense computing, which exploits both computer …

The opinions of other people are an essential piece of information for making informed
decisions. With the increase in using the Internet, today the web becomes an excellent …

Sentiment analysis (SA) is a technique that employs natural language processing to
determine the function of mining methodically, extract, analyse and comprehend people's …

Aspect-based sentiment classification aims to predict the sentiment polarity of an aspect
term in a sentence instead of the sentiment polarity of the entire sentence. Neural networks …

Aspect-level sentiment analysis aims at identifying the sentiment polarity of specific aspect
words in a given sentence. Existing studies mostly use recurrent neural network (RNN) …

Abstract Short Message Service (SMS) on mobile phones has improved because of
technological advancements and increases in content-based marketing where smart …

Traditional bibliometric techniques gauge the impact of research through quantitative
indices based on the citations data. However, due to the lag time involved in the citation …

In recent years, international crude oil prices have been subject to unusually high
fluctuations due to the ravages of the COVID-19 epidemic. Under such extreme market …

This paper presents a state-of-the-art approach for sentiment polarity classification. Our
approach relies on an ensemble of Bidirectional Long Short-Term Memory networks …

Nowadays, communications made by using the modern Internet-based opportunities have
revolutionized the way people exchange information, allowing real-time discussions among …