Sentiment analysis in e-commerce platforms: A review of current techniques and future directions

H Huang, AA Zavareh, MB Mustafa - IEEE Access, 2023 - ieeexplore.ieee.org
Sentiment analysis (SA), also referred to as opinion mining, has become a widely used real-
world application of natural language processing in recent times. Its main goal is to identify …

Sentiment analysis on Twitter data integrating TextBlob and deep learning models: The case of US airline industry

W Aljedaani, F Rustam, MW Mkaouer, A Ghallab… - Knowledge-Based …, 2022 - Elsevier
Twitter being among the popular social media platforms, provide peoples' opinions
regarding specific ideas, products, services, etc. The large amounts of shared data as tweets …

Impact of SMOTE on imbalanced text features for toxic comments classification using RVVC model

V Rupapara, F Rustam, HF Shahzad… - IEEE …, 2021 - ieeexplore.ieee.org
Social media platforms and microblogging websites have gained accelerated popularity
during the past few years. These platforms are used for expressing views and opinions …

Artificial Intelligence in Business-to-Customer Fashion Retail: A Literature Review

A Goti, L Querejeta-Lomas, A Almeida, JG de la Puerta… - Mathematics, 2023 - mdpi.com
Many industries, including healthcare, banking, the auto industry, education, and retail, have
already undergone significant changes because of artificial intelligence (AI). Business-to …

RFCNN: Traffic accident severity prediction based on decision level fusion of machine and deep learning model

M Manzoor, M Umer, S Sadiq, A Ishaq, S Ullah… - IEEE …, 2021 - ieeexplore.ieee.org
Traffic accidents on highways are a leading cause of death despite the development of traffic
safety measures. The burden of casualties and damage caused by road accidents is very …

A tweet sentiment classification approach using a hybrid stacked ensemble technique

B Gaye, D Zhang, A Wulamu - Information, 2021 - mdpi.com
With the extensive availability of social media platforms, Twitter has become a significant
tool for the acquisition of peoples' views, opinions, attitudes, and emotions towards certain …

A sentence is known by the company it keeps: Improving Legal Document Summarization Using Deep Clustering

D Jain, MD Borah, A Biswas - Artificial Intelligence and Law, 2024 - Springer
The appropriate understanding and fast processing of lengthy legal documents are
computationally challenging problems. Designing efficient automatic summarization …

Arabic sentiment analysis of youtube comments: Nlp-based machine learning approaches for content evaluation

DA Musleh, I Alkhwaja, A Alkhwaja… - Big Data and Cognitive …, 2023 - mdpi.com
YouTube is a popular video-sharing platform that offers a diverse range of content.
Assessing the quality of a video without watching it poses a significant challenge, especially …

Bidirectional encoder representations from transformers and deep learning model for analyzing smartphone-related tweets

R Sudheesh, M Mujahid, F Rustam, B Mallampati… - PeerJ Computer …, 2023 - peerj.com
Nearly six billion people globally use smartphones, and reviews about smartphones provide
useful feedback concerning important functions, unique characteristics, etc. Social media …

An improved sentiment classification approach for measuring user satisfaction toward governmental services' mobile apps using machine learning methods with …

M Hadwan, M Al-Sarem, F Saeed, MA Al-Hagery - Applied Sciences, 2022 - mdpi.com
Analyzing the sentiment of Arabic texts is still a big research challenge due to the special
characteristics and complexity of the Arabic language. Few studies have been conducted on …