A comprehensive survey on sentiment analysis: Approaches, challenges and trends
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 …
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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 …
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
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 …
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 …
computations, parallelism by superpositions, and handling large data sets. Moreover, the …