Twitter text mining for sentiment analysis on government's response to forest fires with vader lexicon polarity detection and k-nearest neighbor algorithm
Opinions about the government's response to forest fires have drawn many opinions from
the community. One way for people to express their opinions is to use social media Twitter …
the community. One way for people to express their opinions is to use social media Twitter …
Semantic analysis on social networks: A survey
As social networks are getting more and more popular day by day, large numbers of users
becoming constantly active social network users. In this way, there is a huge amount of data …
becoming constantly active social network users. In this way, there is a huge amount of data …
Big data clustering techniques: Recent advances and survey
IH Hassan, M Abdullahi, BI Ahmad - Machine Learning and Data …, 2021 - books.google.com
Clustering as an unsupervised machine learning technique has appeared as a great
learning method to examine correctly the huge volume of dataset produced by today's …
learning method to examine correctly the huge volume of dataset produced by today's …
Content-based characterization of online social communities
Nowadays social networks are becoming an essential ingredient of our life, the faster way to
share ideas and to influence people. Interaction within social networks tends to take place …
share ideas and to influence people. Interaction within social networks tends to take place …
Digital fingerprinting for identifying malicious collusive groups on Twitter
Propagation of malicious code on online social networks (OSNs) is often a coordinated effort
by collusive groups of malicious actors hiding behind multiple online identities (or digital …
by collusive groups of malicious actors hiding behind multiple online identities (or digital …
Regional difference of household electricity consumption: An empirical study of Jiangsu, China
L Sun, K Zhou, S Yang - Journal of Cleaner Production, 2018 - Elsevier
Severe environmental problems are resulted from the rapid growth of electricity consumption
in China, since thermal power plant occupies the predominant position in power generation …
in China, since thermal power plant occupies the predominant position in power generation …
Big Data Clustering Techniques: Recent Advances and Survey
H Ibrahim Hayatu, A Mohammed… - Machine Learning and …, 2021 - Springer
Clustering as an unsupervised machine learning technique has appeared as a great
learning method to examine correctly the huge volume of dataset produced by today's …
learning method to examine correctly the huge volume of dataset produced by today's …
Vocabulary-based community detection and characterization
With the increase of digital interaction, social networks are becoming an essential ingredient
of our life, by progressively becoming the dominant media, eg in influencing political …
of our life, by progressively becoming the dominant media, eg in influencing political …
Correlation between k-means clustering and topic modeling methods on twitter datasets
PV Tijare, JR Prathuri - Cyber Security and Digital Forensics: Proceedings …, 2022 - Springer
Twitter is a popular platform for people to express their feelings on any subject or topic
irrespective of place and time in the world. The view expressed by the Twitter community …
irrespective of place and time in the world. The view expressed by the Twitter community …
The information environment cluster distribution of the regional socio-economic systems in transition economy
D Rodionov, A Grishacheva, A Shmeleva… - … , Infrastructure & Service …, 2022 - Springer
The global trend of digitalization of social interaction has become the root cause of the
global transformation of both the information environment in general and the patterns of …
global transformation of both the information environment in general and the patterns of …