Social media big data analytics: A survey

NA Ghani, S Hamid, IAT Hashem, E Ahmed - Computers in Human …, 2019 - Elsevier
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 …

A comparative study on bio-inspired algorithms for sentiment analysis

A Yadav, DK Vishwakarma - Cluster Computing, 2020 - Springer
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 …

Data mining with big data

X Wu, X Zhu, GQ Wu, W Ding - IEEE transactions on …, 2013 - ieeexplore.ieee.org
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 …

On the difficulty of automatically detecting irony: beyond a simple case of negation

A Reyes, P Rosso - Knowledge and Information Systems, 2014 - Springer
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 …

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 …

Social business intelligence: Review and research directions

H Gioti, ST Ponis, N Panayiotou - Journal of Intelligence Studies in …, 2018 - seojs-dev.lu.lv
Social business intelligence (SBI) is a rather novel discipline, emerged in theacademic and
business literature as a result of the convergence of two distinct researchdomains: 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 …

An integrated multi-node Hadoop framework to predict high-risk factors of Diabetes Mellitus using a Multilevel MapReduce based Fuzzy Classifier (MMR-FC) and …

J Ramsingh, V Bhuvaneswari - Applied Soft Computing, 2021 - Elsevier
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 …

[PDF][PDF] A Neighbourhood Search for Artificial Bee Colony in Vehicle Routing Problem with Time Windows.

S Mortada, Y Yusof - International Journal of Intelligent Engineering & …, 2021 - inass.org
Artificial bee colony (ABC) is one of the widely used swarm intelligence algorithms in solving
combinatorial optimization problems. In this study, the existing Modified ABC (MABC) …

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 …