AIMC Topic: Social Media

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Real-Time Twitter Spam Detection and Sentiment Analysis using Machine Learning and Deep Learning Techniques.

Computational intelligence and neuroscience Apr 15, 2022
In this modern world, we are accustomed to a constant stream of data. Major social media sites like Twitter, Facebook, or Quora face a huge dilemma as a lot of these sites fall victim to spam accounts. These accounts are made to trap unsuspecting gen...
Bayes Theorem Sentiment Analysis Humans Machine Learning Deep Learning Social Media
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Sentimental Analysis of Twitter Users from Turkish Content with Natural Language Processing.

Computational intelligence and neuroscience Apr 13, 2022
Artificial Intelligence has guided technological progress in recent years; it has shown significant development with increased academic studies on Machine Learning and the high demand for this field in the sector. In addition to the advancement of te...
Artificial Intelligence Machine Learning Natural Language Processing Public Opinion Social Media Humans
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Analysing Hate Speech against Migrants and Women through Tweets Using Ensembled Deep Learning Model.

Computational intelligence and neuroscience Apr 10, 2022
Twitter's popularity has exploded in the previous few years, making it one of the most widely used social media sites. As a result of this development, the strategies described in this study are now more beneficial. Additionally, there has been an in...
Hate Speech Social Media Female Male Deep Learning Humans Algorithms
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Artificial Intelligence-Based Approach for Misogyny and Sarcasm Detection from Arabic Texts.

Computational intelligence and neuroscience Mar 26, 2022
Social media networking is a prominent topic in real life, particularly at the current moment. The impact of comments has been investigated in several studies. Twitter, Facebook, and Instagram are just a few of the social media networks that are used...
Social Media Humans Social Networking Artificial Intelligence
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Sentiment Analysis of Statements on Social Media and Electronic Media Using Machine and Deep Learning Classifiers.

Computational intelligence and neuroscience Mar 2, 2022
When it comes to our everyday life, emotions have a critical role to play. It goes without saying that it is critical in the context of mobile-computer interaction. In social and mobile communication, it is vital to understand the influence of emotio...
Sentiment Analysis Humans Social Media Deep Learning Electronics Emotions
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Data and Model Biases in Social Media Analyses: A Case Study of COVID-19 Tweets.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
During the coronavirus disease pandemic (COVID-19), social media platforms such as Twitter have become a venue for individuals, health professionals, and government agencies to share COVID-19 information. Twitter has been a popular source of data for...
Bias COVID-19 Social Media Data Collection Humans Machine Learning
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Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model.

Scientific reports Feb 3, 2022
India is a hotspot of the COVID-19 crisis. During the first wave, several lockdowns (L) and gradual unlock (UL) phases were implemented by the government of India (GOI) to curb the virus spread. These phases witnessed many challenges and various day-...
India Vaccination Spatio-Temporal Analysis Deep Learning Social Media Datasets as Topic Communicable Disease Control Decision Making Health Policy COVID-19 Decision Support Techniques Male Health Resources Female Humans Pandemics
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Natural language processing: A window to understanding skincare trends.

International journal of medical informatics Jan 24, 2022
BACKGROUND: Reddit is a popular social media discussion forum. Reddit data can be analyzed with natural language processing techniques to gain insights into public health questions by tracking frequency of discussion on relevant topics over time and ...
Natural Language Processing Diet Social Media Humans
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COVID-19 Mask Usage and Social Distancing in Social Media Images: Large-scale Deep Learning Analysis.

JMIR public health and surveillance Jan 18, 2022
BACKGROUND: The adoption of nonpharmaceutical interventions and their surveillance are critical for detecting and stopping possible transmission routes of COVID-19. A study of the effects of these interventions can help shape public health decisions....
COVID-19 SARS-CoV-2 Humans Social Media Communicable Disease Control Masks Deep Learning United States New York City Physical Distancing
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Comparison of computer-generated sentiment analysis to traditional meta-analysis: an infographic.

Regional anesthesia and pain medicine Jan 12, 2022
Sentiment Analysis Humans Social Media Data Visualization Computers
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