A comprehensive survey on sentiment analysis: Approaches, challenges and trends

M Birjali, M Kasri, A Beni-Hssane - Knowledge-Based Systems, 2021 - Elsevier
Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

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 …

Context-based feature technique for sarcasm identification in benchmark datasets using deep learning and BERT model

CI Eke, AA Norman, L Shuib - IEEE Access, 2021 - ieeexplore.ieee.org
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 …

Issues and solutions in deep learning-enabled recommendation systems within the e-commerce field

RJK Almahmood, A Tekerek - Applied Sciences, 2022 - mdpi.com
In recent years, especially with the (COVID-19) pandemic, shopping has been a challenging
task. Increased online shopping has increased information available via the World Wide …

Exploring the drivers of customers' brand attitudes of online travel agency services: A text-mining based approach

A Ray, PK Bala, NP Rana - Journal of Business Research, 2021 - Elsevier
This paper aims to explore the important qualitative aspects of online user-generated-
content that reflects customers' brand-attitudes. Additionally, the qualitative aspects can help …

A robust sentiment analysis method based on sequential combination of convolutional and recursive neural networks

H Sadr, MM Pedram, M Teshnehlab - Neural processing letters, 2019 - Springer
With explosive development of the World Wide Web, an enormous amount of text
information containing users' feeling, emotions and opinions has been generated and is …

Entertainment chatbot for the digital inclusion of elderly people without abstraction capabilities

S García-Méndez, F De Arriba-Perez… - IEEE …, 2021 - ieeexplore.ieee.org
Current language processing technologies allow the creation of conversational chatbot
platforms. Even though artificial intelligence is still too immature to support satisfactory user …

[HTML][HTML] Are black Friday deals worth it? Mining Twitter users' sentiment and behavior response

JR Saura, A Reyes-Menendez… - Journal of Open …, 2019 - Elsevier
ABSTRACT The Black Friday event has become a global opportunity for marketing and
companies' strategies aimed at increasing sales. The present study aims to understand …

Evaluating the performance of sentence level features and domain sensitive features of product reviews on supervised sentiment analysis tasks

BS Rintyarna, R Sarno, C Fatichah - Journal of Big Data, 2019 - Springer
With the popularity of e-commerce, posting online product reviews expressing customer's
sentiment or opinion towards products has grown exponentially. Sentiment analysis is a …

Quantum-enhanced support vector machine for sentiment classification

FZ Ruskanda, MR Abiwardani, R Mulyawan… - IEEE …, 2023 - ieeexplore.ieee.org
Quantum computers have potential computational abilities such as speeding up complex
computations, parallelism by superpositions, and handling large data sets. Moreover, the …