[PDF][PDF] Random forest approach fo sentiment analysis in indonesian

MA Fauzi - Indones. J. Electr. Eng. Comput. Sci, 2018 - researchgate.net
Sentiment analysis becomes very useful since the rise of social media and online review
website and, thus, the requirement of analyzing their sentiment in an effective and efficient …

Link based BPSO for feature selection in big data text clustering

N Kushwaha, M Pant - Future generation computer systems, 2018 - Elsevier
Feature selection is a significant task in data mining and machine learning applications
which eliminates irrelevant and redundant features and improves learning performance …

[HTML][HTML] Ensemble modeling for sustainable technology transfer

J Lee, JH Kang, S Jun, H Lim, D Jang, S Park - Sustainability, 2018 - mdpi.com
These days, technological advances are being made through technological conversion.
Following this trend, companies need to adapt and secure their own sustainable …

End-to-end compromised account detection

H Karimi, C VanDam, L Ye… - 2018 IEEE/ACM …, 2018 - ieeexplore.ieee.org
Social media, eg Twitter, has become a widely used medium for the exchange of
information, but it has also become a valuable tool for hackers to spread misinformation …

Neural network and blockchain based technique for cyber threat intelligence and situational awareness

R Graf, R King - 2018 10th International Conference on Cyber …, 2018 - ieeexplore.ieee.org
Protecting Critical Infrastructure (CI) against increasing cyber threats has become as crucial
as it is complicated. To be effective in identifying and defeating cyber attacks, cyber analysts …

A comparative study on using principle component analysis with different text classifiers

AI Taloba, DA Eisa, SSI Ismail - arXiv preprint arXiv:1807.03283, 2018 - arxiv.org
Text categorization (TC) is the task of automatically organizing a set of documents into a set
of pre-defined categories. Over the last few years, increased attention has been paid to the …

Citation function classification based on ontologies and convolutional neural networks

K Bakhti, Z Niu, A Yousif, AS Nyamawe - Learning Technology for …, 2018 - Springer
In recent years, there has been significant growth in the use of citation to improve the
methods of evaluating the quality of publications. To determine the quality of the …

Applying vector space model (VSM) techniques in information retrieval for Arabic language

B Abu-Salih - arXiv preprint arXiv:1801.03627, 2018 - arxiv.org
Information Retrieval (IR) allows the storage, management, processing and retrieval of
information, documents, websites, etc. Building an IR system for any language is imperative …

Ontology construction based on deep learning

J Wang, J Liu, L Kong - Advances in Computer Science and Ubiquitous …, 2018 - Springer
With the development of information technology, ontology is widely applied to different areas
has become an important technology in knowledge presenting, knowledge acquirement and …

Klasifikasi Teks Pengaduan Masyarakat Dengan Menggunakan Algoritma Neural Network

D Yuliana, C Supriyanto - Jurnal KomTekInfo, 2018 - jkomtekinfo.org
The development of the Internet led to a flood of digital information. Various information can
be obtained easily just by clicking or pressing'enter'. Dissemination of information in the form …