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Social media big data analytics: A survey
Big data analytics has recently emerged as an important research area due to the popularity
of the Internet and the advent of the Web 2.0 technologies. Moreover, the proliferation and …
of the Internet and the advent of the Web 2.0 technologies. Moreover, the proliferation and …
A comparative study on bio-inspired algorithms for sentiment analysis
Data mining is one of the most explored and ongoing areas of research. Sentiment analysis
is a popular application of data mining, where the information regarding the customer's …
is a popular application of data mining, where the information regarding the customer's …
Data mining with big data
Big Data concern large-volume, complex, growing data sets with multiple, autonomous
sources. With the fast development of networking, data storage, and the data collection …
sources. With the fast development of networking, data storage, and the data collection …
On the difficulty of automatically detecting irony: beyond a simple case of negation
It is well known that irony is one of the most subtle devices used to, in a refined way and
without a negation marker, deny what is literally said. As such, its automatic detection would …
without a negation marker, deny what is literally said. As such, its automatic detection would …
Social media monitoring: aims, methods, and challenges for international companies
B Zhang, M Vos - Corporate Communications: An International …, 2014 - emerald.com
Purpose–The purpose of this paper is to clarify the aims, monitoring methods and
challenges of social media monitoring from the perspective of international companies …
challenges of social media monitoring from the perspective of international companies …
Social business intelligence: Review and research directions
Social business intelligence (SBI) is a rather novel discipline, emerged in the academic and
business literature as a result of the convergence of two distinct research domains: business …
business literature as a result of the convergence of two distinct research domains: business …
Integrated predictive experience management framework (ipemf) for improving customer experience: In the era of digital transformation
NR Kumbhojkar, AB Menon - International Journal of Cloud …, 2022 - igi-global.com
Enterprises are adopting digital transformation with an exponential rate to drive growth
through new business models and the use of digital technologies. Digital transformation is a …
through new business models and the use of digital technologies. Digital transformation is a …
An integrated multi-node Hadoop framework to predict high-risk factors of Diabetes Mellitus using a Multilevel MapReduce based Fuzzy Classifier (MMR-FC) and …
In the era of data deluge, the world is experiencing an intensive growth of Big data with
complex structures. While processing of these data is a complex and labor-intensive …
complex structures. While processing of these data is a complex and labor-intensive …
How and Why Some IssuesSpread Fast in Social Media
B Zhang - Online Journal of Communication and Media …, 2015 - arastirmax.com
This paper brings together current insights from various disciplines into the spreading of
social media posts. By astructured literature review of peer-reviewed literature 39 recent …
social media posts. By astructured literature review of peer-reviewed literature 39 recent …
Big data analytics for behavior monitoring of students
Security threat from senseless terrorist attacks on unarmed civilians is a major concern in
today's society. The recent developments in data technology allow us to have scalable and …
today's society. The recent developments in data technology allow us to have scalable and …