Social media big data analytics: A survey

Role of big data and social media analytics for business to business sustainability: A participatory web context

“…The data derived from social media platforms provides organisations with detailed insights into consumer opinions and views relating to their brands and products, thus allowing the organisations to adapt and tailor decisions accordingly (Wu, Zhu, Wu, & Ding, 2014). Previous studies have highlighted the majority of social media big data analysis relies techniques such as trend discovery, modelling, natural language processing (Ghani, Hamid, Targio Hashem, & Ahmed, 2018), sentiment analysis (Ohbe, Ozono, & Shintani, 2017), Social network analysis (Bonchi, Castillo, Gionis, & Jaimes, 2011), and text mining (Reddick, Chatfield, & Ojo, 2017). Furthermore, Shanthi and Pappa (2017) highlight that Natural language processing (NLP), Sentiment analysis, and Social network analysis are key big data analytics techniques used in social media, which all play a significant role in ultimately enhancing organisational decision-making.…”

“…Participatory web tools also help harness collective intelligence through text mining to better understand demand patterns which again would assist in the operational aspect of the company thus driving sustainability (Goh et al, 2007). Text involves extracting information from various types of unstructured contents, such as text, videos and images, given that social media platforms are heavily populated with such content, text mining has become a highly valued technique for analysing social media content (Ghani et al, 2018). A senior manager outlined:…”

Novel Machine Learning Algorithms for Centrality and Cliques Detection in Youtube Social Networks

“…Given a social network, applications for machine learning are abundant. The use of big data allows for patterns to be identified, and outcomes predicted [14]. Applications such as trust prediction [15] can be used to analyze political relationships, or elections.…”

Big Earth Data science: an information framework for a sustainable planet

“…Since the turn of the century, innovations in technology and greater affordability of digital devices have directed the 'Industrial Revolution of Data,' characterized by an explosion in quantity and diversity of real-time digital data in our lives. The amount of data being generated by people and machines alike is growing exponentially with development of smart devices and sensors, and our society is 'entering an unprecedented period in terms of our ability to learn about human behavior' (Leigh 2005;Onnela 2011;Mayer-Schönberger and Cukier 2014;Kessler 2017;Ghani et al 2019). We now see a new movement that is concentrating on open access to knowledge in order to enable re-use and value generation by third parties (Sampson et al 2014;UN GGIM 2016;Maaroof 2019).…”