Metalearning applied to multi-label text classification
V Batista dos Santos, LHC Merschmann - Proceedings of the XVI …, 2020 - dl.acm.org
Data Mining and Machine Learning fields have many techniques that can support data
analysts in the text classification task. However, finding the most adequate techniques …
analysts in the text classification task. However, finding the most adequate techniques …
Automated identification of child abuse in chat rooms by using data mining
M Keyvanpour, M Ebrahimi, NG Nayebi… - Data Mining Trends …, 2016 - igi-global.com
Providing a safe environment for juveniles and children in online social networks is
considered as one of the major factors of improving public safety. Due to the prevalence of …
considered as one of the major factors of improving public safety. Due to the prevalence of …
An empirical analysis of Moroccan dialectal user-generated text
R Tachicart, K Bouzoubaa - … , ICCCI 2019, Hendaye, France, September 4 …, 2019 - Springer
With the increase of web use in Morocco today, Internet has become an important source of
information. Specifically, across social media, Moroccan people use several languages in …
information. Specifically, across social media, Moroccan people use several languages in …
Arabic text mining based on clustering and coreference resolution
S Mahmood, FML Al-Rufaye - 2017 International Conference …, 2017 - ieeexplore.ieee.org
Text mining discover and extract useful information from documents, whenever increase the
size and number documents leads to redouble features. The huge features for the …
size and number documents leads to redouble features. The huge features for the …
[HTML][HTML] Dynamic land-use map based on Twitter data
Yuyun, F Akhmad Nuzir, B Julien Dewancker - Sustainability, 2017 - mdpi.com
Location-based social media allows people to communicate and share information on a
popular landmark. With millions of data records generated, it provides new knowledge about …
popular landmark. With millions of data records generated, it provides new knowledge about …
Diary mining: predicting emotion from activities, people and places
S Alahdal - 2020 - orca.cardiff.ac.uk
Diary methods are concerned with collecting qualitative information from people about their
everyday lives and are commonly used in many fields such as psychology, sociology and …
everyday lives and are commonly used in many fields such as psychology, sociology and …
[PDF][PDF] Opinion mining of Thai politics on Facebook status updates
P Songram, C Jareanpon - of the 3rd IIAE International Conference …, 2015 - academia.edu
Currently, social networking websites are widely used for communication among people. A
multitude of websites are available for sharing ideas and knowledge. Facebook is the most …
multitude of websites are available for sharing ideas and knowledge. Facebook is the most …
Automatic Classification of Web News: A Systematic Mapping Study
M Pandolfi-González, C Quesada-López… - Intelligent Systems and …, 2021 - Springer
The number of news articles published on the Web has had a dramatic increase. News
websites are overwhelmed daily with articles, and their processing and classification is a …
websites are overwhelmed daily with articles, and their processing and classification is a …
[PDF][PDF] Modeling the persona in persuasive discourse on social media using context-aware and knowledge-driven learning
U Kursuncu - 2018 - ugurkursuncu.com
Social media has reshaped communication in the last decade, supporting interaction and
community development among participants who would never otherwise meet. It provides …
community development among participants who would never otherwise meet. It provides …
[PDF][PDF] A methodological survey on sentiment analysis techniques and their applications in opinion mining
Opinion mining and sentiment analysis is a fast developing and growing research area.
There are various e-commerce sites available on the net that provides choices to users to …
There are various e-commerce sites available on the net that provides choices to users to …