AIMC Topic: Public Opinion

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Sentiment Analysis of Shared Tweets on Global Warming on Twitter with Data Mining Methods: A Case Study on Turkish Language.

Computational intelligence and neuroscience
As the usage of social media has increased, the size of shared data has instantly surged and this has been an important source of research for environmental issues as it has been with popular topics. Sentiment analysis has been used to determine peop...

Assessing Public Opinion on CRISPR-Cas9: Combining Crowdsourcing and Deep Learning.

Journal of medical Internet research
BACKGROUND: The discovery of the CRISPR-Cas9-based gene editing method has opened unprecedented new potential for biological and medical engineering, sparking a growing public debate on both the potential and dangers of CRISPR applications. Given the...

Social Network Analysis of COVID-19 Sentiments: Application of Artificial Intelligence.

Journal of medical Internet research
BACKGROUND: The coronavirus disease (COVID-19) pandemic led to substantial public discussion. Understanding these discussions can help institutions, governments, and individuals navigate the pandemic.

Design of Festival Sentiment Classifier Based on Social Network.

Computational intelligence and neuroscience
With the development of society, more and more attention has been paid to cultural festivals. In addition to the government's emphasis, the increasing consumption in festivals also proves that cultural festivals are playing increasingly important rol...

Public Perception of Artificial Intelligence in Medical Care: Content Analysis of Social Media.

Journal of medical Internet research
BACKGROUND: High-quality medical resources are in high demand worldwide, and the application of artificial intelligence (AI) in medical care may help alleviate the crisis related to this shortage. The development of the medical AI industry depends to...

Recurrent convolutional neural kernel model for stock price movement prediction.

PloS one
Stock price movement prediction plays important roles in decision making for investors. It was usually regarded as a binary classification task. In this paper, a recurrent convolutional neural kernel (RCNK) model was proposed, which learned complemen...

Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France.

Journal of translational medicine
BACKGROUND: Artificial intelligence (AI), with its seemingly limitless power, holds the promise to truly revolutionize patient healthcare. However, the discourse carried out in public does not always correlate with the actual impact. Thus, we aimed t...

Implementation of artificial intelligence in medicine: Status analysis and development suggestions.

Artificial intelligence in medicine
The general public's attitudes, demands, and expectations regarding medical AI could provide guidance for the future development of medical AI to satisfy the increasing needs of doctors and patients. The objective of this study is to investigate publ...