Systematic reviews in sentiment analysis: a tertiary study

A Ligthart, C Catal, B Tekinerdogan - Artificial intelligence review, 2021 - Springer
With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions

FE Ayo, O Folorunso, FT Ibharalu, IA Osinuga - Computer Science Review, 2020 - Elsevier
Twitter is a microblogging tool that allow the creation of big data through short digital
contents. This study provides a survey of machine learning techniques for hate speech …

Improved Salp Swarm Algorithm based on opposition based learning and novel local search algorithm for feature selection

M Tubishat, N Idris, L Shuib, MAM Abushariah… - Expert Systems with …, 2020 - Elsevier
Many fields such as data science, data mining suffered from the rapid growth of data volume
and high data dimensionality. The main problems which are faced by these fields include …

An intelligent cognitive-inspired computing with big data analytics framework for sentiment analysis and classification

DK Jain, P Boyapati, J Venkatesh, M Prakash - Information Processing & …, 2022 - Elsevier
Advancements in recent networking and information technology have always been a natural
phenomenon. The exponential amount of data generated by the people in their day-to-day …

Coronavirus herd immunity optimizer with greedy crossover for feature selection in medical diagnosis

M Alweshah, S Alkhalaileh, MA Al-Betar… - Knowledge-Based …, 2022 - Elsevier
The importance of medical data and the crucial nature of the decisions that are based on
such data, as well as the large increase in its volume, has encouraged researchers to …

Utilizing IoT wearable medical device for heart disease prediction using higher order Boltzmann model: A classification approach

Z Al-Makhadmeh, A Tolba - Measurement, 2019 - Elsevier
Globally, the prognosis of heart disease can be improved by early diagnosis and treatment.
However, existing automatic systems for diagnosing heart disease are hampered by the …

Automatic hate speech detection using killer natural language processing optimizing ensemble deep learning approach

Z Al-Makhadmeh, A Tolba - Computing, 2020 - Springer
Over the last decade, the increased use of social media has led to an increase in hateful
activities in social networks. Hate speech is one of the most dangerous of these activities, so …

Killer heuristic optimized convolution neural network-based fall detection with wearable IoT sensor devices

A Alarifi, A Alwadain - Measurement, 2021 - Elsevier
Current multi-disciplinary research views falls in the elderly as a significant worldwide public
health risk. Several fall detection systems have been created that use wearable motion …

An intelligent metaheuristic binary pigeon optimization-based feature selection and big data classification in a MapReduce environment

F Abukhodair, W Alsaggaf, AT Jamal, S Abdel-Khalek… - Mathematics, 2021 - mdpi.com
Big Data are highly effective for systematically extracting and analyzing massive data. It can
be useful to manage data proficiently over the conventional data handling approaches …

Maintaining patient oral health by using a xeno-genetic spiking neural network

S Vellappally, A Abdullah Al-Kheraif, S Anil… - Journal of Ambient …, 2018 - Springer
Many people are affected by dental problems that have serious long-term effects. Thus, oral
hygiene maintenance is necessary to prevent dry mouth tooth decay, bad breath, and cold …