Text categorization: past and present
Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …
defined text categories using some machine learning algorithms. Normally, it defines the …
Online extremism detection: A systematic literature review with emphasis on datasets, classification techniques, validation methods, and tools
M Gaikwad, S Ahirrao, S Phansalkar, K Kotecha - Ieee Access, 2021 - ieeexplore.ieee.org
Social media platforms are popular for expressing personal views, emotions and beliefs.
Social media platforms are influential for propagating extremist ideologies for group …
Social media platforms are influential for propagating extremist ideologies for group …
Graph neural networks: foundation, frontiers and applications
The field of graph neural networks (GNNs) has seen rapid and incredible strides over the
recent years. Graph neural networks, also known as deep learning on graphs, graph …
recent years. Graph neural networks, also known as deep learning on graphs, graph …
[PDF][PDF] Text categorization as a graph classification problem
F Rousseau, E Kiagias… - Proceedings of the 53rd …, 2015 - aclanthology.org
In this paper, we consider the task of text categorization as a graph classification problem.
By representing textual documents as graph-of-words instead of historical n-gram bag-of …
By representing textual documents as graph-of-words instead of historical n-gram bag-of …
[PDF][PDF] Text Mining Dan Pola Algoritma Dalam Penyelesaian Masalah Informasi:(Sebuah Ulasan)
AF Firdaus, WI Firdaus - JUPITER (Jurnal Penelitian Ilmu dan …, 2021 - academia.edu
Text Mining bertujuan untuk menemukan informasi berharga yang tersembunyi baik dari
sumber informasi terstruktur dan tidak terstruktur. Web merupakan sumber utama tempat …
sumber informasi terstruktur dan tidak terstruktur. Web merupakan sumber utama tempat …
A deep learning approach for relationship extraction from interaction context in social manufacturing paradigm
J Leng, P Jiang - Knowledge-Based Systems, 2016 - Elsevier
There is an increasing unstructured text data produced in cross-enterprise social interaction
media, forming a social interaction context that contains massive manufacturing …
media, forming a social interaction context that contains massive manufacturing …
Multimedia data mining: state of the art and challenges
CA Bhatt, MS Kankanhalli - Multimedia Tools and Applications, 2011 - Springer
Advances in multimedia data acquisition and storage technology have led to the growth of
very large multimedia databases. Analyzing this huge amount of multimedia data to discover …
very large multimedia databases. Analyzing this huge amount of multimedia data to discover …
A review on text mining
Y Zhang, M Chen, L Liu - 2015 6th IEEE International …, 2015 - ieeexplore.ieee.org
Because of large amounts of unstructured text data generated on the Internet, text mining is
believed to have high commercial value. Text mining is the process of extracting previously …
believed to have high commercial value. Text mining is the process of extracting previously …
[图书][B] Machine learning for health informatics
A Holzinger - 2016 - Springer
Abstract Machine Learning (ML) studies algorithms which can learn from data to gain
knowledge from experience and to make decisions and predictions. Health Informatics (HI) …
knowledge from experience and to make decisions and predictions. Health Informatics (HI) …
Syntactic, semantic and sentiment analysis: The joint effect on automated essay evaluation
Manual grading of essays by humans is time-consuming and likely to be susceptible to
inconsistencies and inaccuracies. In recent years, an abundance of research has been done …
inconsistencies and inaccuracies. In recent years, an abundance of research has been done …