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 …
[HTML][HTML] From conventional group decision making to large-scale group decision making: What are the challenges and how to meet them in big data era? A state-of …
Abstract The arrival of Big Data era has brought large, complex, and growing data generated
from numerous sources. Due to the power in felicitous decision making based on diverse …
from numerous sources. Due to the power in felicitous decision making based on diverse …
Fuzzy logic applied to opinion mining: a review
The advent of Web 2.0 and its continuous growth has yielded enormous amounts of freely
available user-generated information. Within this information, it is easy to find subjective …
available user-generated information. Within this information, it is easy to find subjective …
Sentiment analysis based multi-person multi-criteria decision making methodology using natural language processing and deep learning for smarter decision aid …
Decision making models are constrained by taking the expert evaluations with pre-defined
numerical or linguistic terms. We claim that the use of sentiment analysis will allow decision …
numerical or linguistic terms. We claim that the use of sentiment analysis will allow decision …
Social media toxicity classification using deep learning: real-world application UK brexit
Social media has become an essential facet of modern society, wherein people share their
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …
opinions on a wide variety of topics. Social media is quickly becoming indispensable for a …
Multi-level fine-scaled sentiment sensing with ambivalence handling
Social media represent a rich source of information, such as critiques, feedback, and other
opinions posted online by Internet users. Such information is typically a good reflection of …
opinions posted online by Internet users. Such information is typically a good reflection of …
SACPC: A framework based on probabilistic linguistic terms for short text sentiment analysis
C Song, XK Wang, P Cheng, J Wang, L Li - Knowledge-Based Systems, 2020 - Elsevier
Short text sentiment analysis is challenging because short texts are limited in length and
lack context. Short texts are usually rather ambiguous because of polysemy and the typos …
lack context. Short texts are usually rather ambiguous because of polysemy and the typos …
A personalized consensus feedback mechanism based on maximum harmony degree
This article proposes a framework of personalized feedback mechanism to help multiple
inconsistent experts to reach consensus in group decision making by allowing to select …
inconsistent experts to reach consensus in group decision making by allowing to select …
Emotional sentiment analysis of social media content for mental health safety
F Benrouba, R Boudour - Social Network Analysis and Mining, 2023 - Springer
Text sentiment analysis is mostly used for the assessment of the author's mood depending
on the context. The purpose of sentiment analysis is to discover the exactness of the …
on the context. The purpose of sentiment analysis is to discover the exactness of the …
A joint feedback strategy for consensus in large-scale group decision making under social network
T Gai, M Cao, Q Cao, J Wu, G Yu, M Zhou - Computers & Industrial …, 2020 - Elsevier
Nowadays, large-scale group decision making (LSGDM) has become a hot topic and
brought new challenges for the decision makers. This article proposes a framework of joint …
brought new challenges for the decision makers. This article proposes a framework of joint …