Using Twitter for public health surveillance from monitoring and prediction to public response
Twitter is a social media platform where over 500 million people worldwide publish their
ideas and discuss diverse topics, including their health conditions and public health events …
ideas and discuss diverse topics, including their health conditions and public health events …
[BOOK][B] Steadfast democrats: How social forces shape Black political behavior
Black Americans are by far the most unified racial group in American electoral politics, with
80 to 90 percent identifying as Democrats—a surprising figure given that nearly a third now …
80 to 90 percent identifying as Democrats—a surprising figure given that nearly a third now …
Social media analytics for business-to-business marketing
Organizations continue to incorporate social media analytics into their routines to improve
their performance outcomes. However, industrial marketing literature is lagging in that it has …
their performance outcomes. However, industrial marketing literature is lagging in that it has …
A review of approaches for topic detection in Twitter
Z Mottaghinia, MR Feizi-Derakhshi… - … of Experimental & …, 2021 - Taylor & Francis
Online social media such as Twitter are growing so rapidly. Recently, Twitter has become
one of the popular microblogging services on the Internet. It lets millions of users to …
one of the popular microblogging services on the Internet. It lets millions of users to …
Exploratory analysis of covid-19 tweets using topic modeling, umap, and digraphs
This paper illustrates five different techniques to assess the distinctiveness of topics, key
terms and features, speed of information dissemination, and network behaviors for Covid19 …
terms and features, speed of information dissemination, and network behaviors for Covid19 …
TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets
Abstract COVID-19, caused by SARS-CoV2 infection, varies greatly in its severity but
presents with serious respiratory symptoms with vascular and other complications …
presents with serious respiratory symptoms with vascular and other complications …
Social fingerprinting: detection of spambot groups through DNA-inspired behavioral modeling
Spambot detection in online social networks is a long-lasting challenge involving the study
and design of detection techniques capable of efficiently identifying ever-evolving …
and design of detection techniques capable of efficiently identifying ever-evolving …
Employing BERT-DCNN with sentic knowledge base for social media sentiment analysis
Abstract Machine learning is considered advantageous smart cities through sentiment
analysis using social media reviews. Social media reviews can be helpful inside smart cities …
analysis using social media reviews. Social media reviews can be helpful inside smart cities …
Integrating semantic knowledge to tackle zero-shot text classification
Insufficient or even unavailable training data of emerging classes is a big challenge of many
classification tasks, including text classification. Recognising text documents of classes that …
classification tasks, including text classification. Recognising text documents of classes that …
[HTML][HTML] Short text classification for Arabic social media tweets
With the rapid growth in the number of tweets published daily on Twitter, automated
classification of tweets becomes necessary for broad diverse applications (eg, information …
classification of tweets becomes necessary for broad diverse applications (eg, information …