Twitter and research: A systematic literature review through text mining
Researchers have collected Twitter data to study a wide range of topics. This growing body
of literature, however, has not yet been reviewed systematically to synthesize Twitter-related …
of literature, however, has not yet been reviewed systematically to synthesize Twitter-related …
The four dimensions of social network analysis: An overview of research methods, applications, and software tools
Social network based applications have experienced exponential growth in recent years.
One of the reasons for this rise is that this application domain offers a particularly fertile …
One of the reasons for this rise is that this application domain offers a particularly fertile …
A new direction in social network analysis: Online social network analysis problems and applications
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …
of the Internet has become widespread worldwide as the technological infrastructure and the …
Network distribution and sentiment interaction: Information diffusion mechanisms between social bots and human users on social media
M Cai, H Luo, X Meng, Y Cui, W Wang - Information Processing & …, 2023 - Elsevier
When public health emergencies occur, a large amount of low-credibility information is
widely disseminated by social bots, and public sentiment is easily manipulated by social …
widely disseminated by social bots, and public sentiment is easily manipulated by social …
Customer segmentation using online platforms: isolating behavioral and demographic segments for persona creation via aggregated user data
We propose a novel approach for isolating customer segments using online customer data
for products that are distributed via online social media platforms. We use non-negative …
for products that are distributed via online social media platforms. We use non-negative …
A review of text corpus-based tourism big data mining
With the massive growth of the Internet, text data has become one of the main formats of
tourism big data. As an effective expression means of tourists' opinions, text mining of such …
tourism big data. As an effective expression means of tourists' opinions, text mining of such …
Personality-aware product recommendation system based on user interests mining and metapath discovery
A recommendation system is an integral part of any modern online shopping or social
network platform. The product recommendation system as a typical example of the legacy …
network platform. The product recommendation system as a typical example of the legacy …
Machine learning approach to auto-tagging online content for content marketing efficiency: A comparative analysis between methods and content type
J Salminen, V Yoganathan, J Corporan… - Journal of Business …, 2019 - Elsevier
As complex data becomes the norm, greater understanding of machine learning (ML)
applications is needed for content marketers. Unstructured data, scattered across platforms …
applications is needed for content marketers. Unstructured data, scattered across platforms …
View, like, comment, post: Analyzing user engagement by topic at 4 levels across 5 social media platforms for 53 news organizations
We evaluate the effects of the topics of social media posts on audiences across five social
media platforms (ie, Facebook, Instagram, Twitter, YouTube, and Reddit) at four levels of …
media platforms (ie, Facebook, Instagram, Twitter, YouTube, and Reddit) at four levels of …
[HTML][HTML] Mental disorders on online social media through the lens of language and behaviour: Analysis and visualisation
Due to the worldwide accessibility to the Internet along with the continuous advances in
mobile technologies, physical and digital worlds have become completely blended, and the …
mobile technologies, physical and digital worlds have become completely blended, and the …