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Social Media

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PACC: Large scale connected component computation on Hadoop and Spark.

PloS one
A connected component in a graph is a set of nodes linked to each other by paths. The problem of finding connected components has been applied to diverse graph analysis tasks such as graph partitioning, graph compression, and pattern recognition. Sev...

Understanding Patient Anxieties in the Social Media Era: Qualitative Analysis and Natural Language Processing of an Online Male Infertility Community.

Journal of medical Internet research
BACKGROUND: Couples struggling with infertility are increasingly turning to the internet for infertility-related content and to connect with others. Most of the published data on infertility and the internet only address the experiences of women, wit...

Artificial neural networks for predicting social comparison effects among female Instagram users.

PloS one
Systematic exposure to social media causes social comparisons, especially among women who compare their image to others; they are particularly vulnerable to mood decrease, self-objectification, body concerns, and lower perception of themselves. This ...

Twitter Analysis of the Nonmedical Use and Side Effects of Methylphenidate: Machine Learning Study.

Journal of medical Internet research
BACKGROUND: Methylphenidate, a stimulant used to treat attention deficit hyperactivity disorder, has the potential to be used nonmedically, such as for studying and recreation. In an era when many people actively use social networking services, exper...

Monitoring stance towards vaccination in twitter messages.

BMC medical informatics and decision making
BACKGROUND: We developed a system to automatically classify stance towards vaccination in Twitter messages, with a focus on messages with a negative stance. Such a system makes it possible to monitor the ongoing stream of messages on social media, of...

Multi-Rule Based Ensemble Feature Selection Model for Sarcasm Type Detection in Twitter.

Computational intelligence and neuroscience
Sentimental analysis aims at inferring how people express their opinion over any piece of text or topic of interest. This article deals with detection of an implicit form of the sentiment, referred to as sarcasm. Sarcasm conveys the opposite of what ...

Comparative analysis on Facebook post interaction using DNN, ELM and LSTM.

PloS one
This study presents a novel research approach to predict user interaction for social media post using machine learning algorithms. The posts are converted to vector form using word2vec and doc2vec model. These two methods are used to analyse the best...

Deep learning for pollen allergy surveillance from twitter in Australia.

BMC medical informatics and decision making
BACKGROUND: The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media platform is used for data colle...

Automatically Appraising the Credibility of Vaccine-Related Web Pages Shared on Social Media: A Twitter Surveillance Study.

Journal of medical Internet research
BACKGROUND: Tools used to appraise the credibility of health information are time-consuming to apply and require context-specific expertise, limiting their use for quickly identifying and mitigating the spread of misinformation as it emerges.