Results 121 to 130 of about 208,737 (313)

Text data mining: discovery of important keywords in the cyberspace [PDF]

, 2000
Hiroki Arimura, Jair Minoro Abe, Ryoichi Fujino, Hiroshi Sakamoto, Shinichi Shimozono, Setsuo Arikawa   +5 more
openalex   +1 more source

Biomass‐Derived Metal‐Free Nanostructured Carbon Electrocatalysts for High‐Performance Rechargeable Zinc–Air Batteries

Advanced Energy and Sustainability Research, EarlyView.
The study discusses synthesis strategies of metal‐free heteroatom‐doped nanocarbon materials from biomass for use in rechargeable zinc–air batteries. It also covers the significance of these materials as electrocatalysts and electrodes for improving the oxygen reduction and evolution reactionsin.
Molla Asmare Alemu, Addisu Alemayehu Assegie, Mustafa Ilbas, Rafat Al Afif, Muluken Zegeye Getie   +4 more
wiley   +1 more source

Passage-based Web text mining (poster session) [PDF]

, 2000
Thanaruk Theeramunkong
openalex   +1 more source

Disentangling the relationships between denomination of origin regulatory councils activities and Spanish wineries' export performance

Agribusiness, EarlyView.
Abstract World markets for quality differentiated agri‐food products are highly competitive, presenting significant challenges for firms aiming to compete effectively. Government agencies and business organizations often implement various export promotion policies to address these challenges.
Nicolás Depetris‐Chauvin, Marta Fernández‐Olmos   +1 more
wiley   +1 more source

Text Mining Infrastructure in R

Journal of Statistical Software, 2008
During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R.
Kurt Hornik, Ingo Feinerer, David Meyer
doaj  

Automatic extraction of microorganisms and their habitats from free text using text mining workflows

Journal of Integrative Bioinformatics, 2011
In this paper we illustrate the usage of text mining workflows to automatically extract instances of microorganisms and their habitats from free text; these entries can then be curated and added to different databases.
Kolluru BalaKrishna, Nakjang Sirintra, Hirt Robert P., Wipat Anil, Ananiadou Sophia   +4 more
doaj   +1 more source

Text mining and visualization using VOSviewer [PDF]

arXiv, 2011
VOSviewer is a computer program for creating, visualizing, and exploring bibliometric maps of science. In this report, the new text mining functionality of VOSviewer is presented. A number of examples are given of applications in which VOSviewer is used for analyzing large amounts of text data.
arxiv  

AInsectID Version 1.1: An Insect Species Identification Software Based on the Transfer Learning of Deep Convolutional Neural Networks

Advanced Intelligent Discovery, EarlyView.
This paper describes the basis for AInsectID Version 1, a GUI‐operable open‐source insect species identification, color processing, and image analysis software. This paper discusses our methods of algorithmic development, coupled to rigorous machine training used to enable high levels of validation accuracy.
Haleema Sadia, Parvez Alam
wiley   +1 more source

A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques [PDF]

arXiv, 2017
The amount of text that is generated every day is increasing dramatically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers. Therefore, efficient and effective techniques and algorithms are required to discover useful patterns. Text mining is the task of extracting meaningful information from text,
arxiv  

A Clustering Technique for Mining Data from Text Tables [PDF]

, 2002
Hasan Davulcu, Saikat Mukherjee, I. V. Ramakrishnan   +2 more
openalex   +1 more source