Analysing discussions in social networks using group decision making methods and sentiment analysis

JA Morente-Molinera, G Kou, Y Peng… - Information …, 2018 - Elsevier
Social networks are one of the most preferred environments for people to carry out debates.
Since a large amount of people can participate in the process, there is a need for tools that …

A method to detect influencers in social networks based on the combination of amplification factors and content creation

T Huynh, HD Nguyen, I Zelinka, XH Pham, VT Pham… - Plos one, 2022 - journals.plos.org
A social network is one of the efficient tools for information propagation. The content is the
bridge between the product and its customers. Evaluating the user's content creation is a …

The effects of natural language processing on big data analysis: Sentiment analysis case study

M Khader, A Awajan… - 2018 International Arab …, 2018 - ieeexplore.ieee.org
The social networks are one of the main sources of big data. Continuously, it produce huge
volume of variety types of data at high velocity rates. This huge volume of data contains …

An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis

V García-Díaz, JP Espada, RG Crespo… - Applied Soft …, 2018 - Elsevier
Social networks link people and machines, providing a huge amount of information that
grows very fast without the possibility to be handled manually. Moreover, opinion mining is …

[HTML][HTML] TITAN: A knowledge-based platform for Big Data workflow management

A Benítez-Hidalgo, C Barba-González… - Knowledge-Based …, 2021 - Elsevier
Abstract Modern applications of Big Data are transcending from being scalable solutions of
data processing and analysis, to now provide advanced functionalities with the ability to …

Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data

VM Mondragon, V García-Díaz, C Porcel, RG Crespo - Soft Computing, 2018 - Springer
This paper describes a new proposal for interactive television which is an answer to a
continuous change in the traditional television as consequence of the inclusion and …

Sentiment analysis based on MapReduce: a survey

M Khader, A Awajan, G Al-Naymat - Proceedings of the 10th international …, 2018 - dl.acm.org
Sentiment analysis is the process of analyzing people's sentiments, opinions, evaluations
and emotions by studying their written text. It attracts the interest of many researchers, since …

[PDF][PDF] Adjectives grouping in a dimensionality affective clustering model for fuzzy perceptual evaluation

W Huang, Q Wu, N Dey, A Ashour, SJ Fong… - 2020 - reunir.unir.net
More and more products are no longer limited to the satisfaction of the basic needs, but
reflect the emotional interaction between people and environment. The characteristics of …

Enhancing the robustness of recommender systems against spammers

C Zhang, J Liu, Y Qu, T Han, X Ge, A Zeng - PloS one, 2018 - journals.plos.org
The accuracy and diversity of recommendation algorithms have always been the research
hotspot of recommender systems. A good recommender system should not only have high …

Measure of the content creation score on social network using sentiment score and passion point

HD Nguyen, T Huynh, ST Luu, SN Hoang… - Knowledge …, 2020 - ebooks.iospress.nl
Social network is one of efficient tools for spreading information. The evaluation of the
content creation of a user is a useful feature to improve the ability of information propagation …