Sentiment analysis using deep learning architectures: a review

A Yadav, DK Vishwakarma - Artificial Intelligence Review, 2020 - Springer
Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

Deep learning for aspect-based sentiment analysis: a comparative review

HH Do, PWC Prasad, A Maag, A Alsadoon - Expert systems with …, 2019 - Elsevier
The increasing volume of user-generated content on the web has made sentiment analysis
an important tool for the extraction of information about the human emotional state. A current …

What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education

A Tlili, B Shehata, MA Adarkwah, A Bozkurt… - Smart learning …, 2023 - Springer
Artificial Intelligence (AI) technologies have been progressing constantly and being more
visible in different aspects of our lives. One recent phenomenon is ChatGPT, a chatbot with a …

Can chatgpt reproduce human-generated labels? a study of social computing tasks

Y Zhu, P Zhang, EU Haq, P Hui, G Tyson - arxiv preprint arxiv:2304.10145, 2023 - arxiv.org
The release of ChatGPT has uncovered a range of possibilities whereby large language
models (LLMs) can substitute human intelligence. In this paper, we seek to understand …

Cross-cultural polarity and emotion detection using sentiment analysis and deep learning on COVID-19 related tweets

AS Imran, SM Daudpota, Z Kastrati, R Batra - Ieee Access, 2020 - ieeexplore.ieee.org
How different cultures react and respond given a crisis is predominant in a society's norms
and political will to combat the situation. Often, the decisions made are necessitated by …

The predictive power of public Twitter sentiment for forecasting cryptocurrency prices

O Kraaijeveld, J De Smedt - Journal of International Financial Markets …, 2020 - Elsevier
Cryptocurrencies have become a very popular topic recently, primarily due to their disruptive
potential and reports of unprecedented returns. In addition, academics increasingly …

Machine learning and deep learning for sentiment analysis across languages: A survey

EM Mercha, H Benbrahim - Neurocomputing, 2023 - Elsevier
The inception and rapid growth of the Web, social media, and other online forums have
resulted in the continuous and rapid generation of opinionated textual data. Several real …

A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks

D Antonakaki, P Fragopoulou, S Ioannidis - Expert systems with …, 2021 - Elsevier
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …

[HTML][HTML] Detecting and analyzing suicidal ideation on social media using deep learning and machine learning models

THH Aldhyani, SN Alsubari, AS Alshebami… - International journal of …, 2022 - mdpi.com
Individuals who suffer from suicidal ideation frequently express their views and ideas on
social media. Thus, several studies found that people who are contemplating suicide can be …

A survey of sentiment analysis in social media

L Yue, W Chen, X Li, W Zuo, M Yin - Knowledge and Information Systems, 2019 - Springer
Sentiments or opinions from social media provide the most up-to-date and inclusive
information, due to the proliferation of social media and the low barrier for posting the …