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Sentiment analysis using deep learning architectures: a review
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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 …
potential and reports of unprecedented returns. In addition, academics increasingly …
Machine learning and deep learning for sentiment analysis across languages: A survey
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 …
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
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 …
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
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 …
social media. Thus, several studies found that people who are contemplating suicide can be …
A survey of sentiment analysis in social media
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 …
information, due to the proliferation of social media and the low barrier for posting the …