Spider monkey crow optimization algorithm with deep learning for sentiment classification and information retrieval

A Chugh, VK Sharma, S Kumar, A Nayyar… - IEEE …, 2021 - ieeexplore.ieee.org
The epidemic increase in online reviews' growth made the sentiment classification a
fascinating domain in academic and industrial research. The reviews assist several …

[HTML][HTML] Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

W Aljedaani, I Abuhaimed, F Rustam… - Social Network Analysis …, 2022 - Springer
Introduction The development of COVID-19 vaccines has been a great relief in many
countries that have been affected by the pandemic. As a result, many governments have …

Learning sentiment analysis for accessibility user reviews

W Aljedaani, F Rustam, S Ludi, A Ouni… - 2021 36th IEEE/ACM …, 2021 - ieeexplore.ieee.org
Nowadays, people use different ways to express emotions and sentiments such as facial
expressions, gestures, speech, and text. With the exponentially growing popularity of mobile …

Evidence of Ostwald Ripening in opinion driven dynamics of mutually competitive social networks

P Munjal, L Kumar, S Kumar, H Banati - Physica A: Statistical Mechanics …, 2019 - Elsevier
Abstract Models based on opinion exchange aim to describe the dynamics of social
networks and to uncover the intrinsic mechanisms in mutually competitive social networks …

An ensemble machine learning approach for Twitter sentiment analysis

P Radiuk, O Pavlova, N Hrypynska - 2022 - elar.khmnu.edu.ua
Анотація The presented study addresses the issue of classifying emotional expressions
based on small texts (tweets) extracted from the social network Twitter. In this paper, we …

[PDF][PDF] Sentiment analysis using global vector and long short-term memory

K Kusum, SP Panda - Indonesian Journal of Electrical Engineering …, 2022 - academia.edu
Tweet sentiment analysis is a deep learning study that is beneficial for automatically
determining public opinion on a certain topic. Using the long short-term memory (LSTM) …

Using linguistics and psycholinguistics features in machine learning for fake news classification through twitter

CJ Lee, HN Chua - Proceedings of International Conference on Data …, 2022 - Springer
The pinnacle of technology today has allowed for fake news to be spread widely and rapidly
through social media channels. The huge volumes of fake news have led to the obsoletion …

Empirical evaluation of shallow and deep classifiers for rumor detection

A Kumar, V Singh, T Ali, S Pal, J Singh - Advances in Computing and …, 2020 - Springer
Rumor Detection has attracted a lot of attention from the research communities ever since
there has been a boom in social networking sites like Twitter, Facebook, etc., for spreading …

Recommender System Based on User's Tweets Sentiment Analysis

S Selmene, Z Kodia - Proceedings of the 4th International Conference …, 2020 - dl.acm.org
With the ever-growing volume of online information, recommender systems have been an
effective strategy to overcome such information overload. The utility of recommender …

Twitter sentiment analysis based on neural network techniques

A Singal, MM Thiruthuvanathan - … : Proceedings of CIS 2021, Volume 1, 2022 - Springer
Our whole world is changing everyday due to the present pace of innovation. One such
innovation was the Internet which has become a vital part of our lives and is being utilized …