Book ChapterDOI
A Text Mining Based Supervised Learning Algorithm for Classification of Manufacturing Suppliers
Vijaya Kumar Manupati,M. D. Akhtar,Maria Leonilde Rocha Varela,Goran D. Putnik,Justyna Trojanowska,José Machado +5 more
- pp 236-244
TLDR
A support vector machine (SVM) based classification algorithm is established to classify the text data into two broad categories of Manufacturing and Non-Manufacturing suppliers, and the efficiency of the proposed approach for classification of the texts is proved.Abstract:
With the expeditious growth of unstructured massive data on the World Wide Web (WWW), more advanced tools, techniques, methods, and approaches for information organization and retrieval are desired. Text mining is one such approach to achieve the above mentioned demand. One of the main text mining applications is how to classify data presented by different industries into groups. In this paper, the classification of data into various groups based on the choice of the users at any given point of time is proposed. Here, a support vector machine (SVM) based classification algorithm is established to classify the text data into two broad categories of Manufacturing and Non-Manufacturing suppliers. Later, the performance of the proposed classifier was tested experimentally using most commonly used accuracy measures such as precision, recall, and F-measure. Results proved the efficiency of the proposed approach for classification of the texts.read more
Citations
More filters
Proceedings ArticleDOI
Research on Chinese Text Classification Algorithm based on Convolutional Neural Network
TL;DR: A new text classification model is constructed by using the CNN algorithm and the jump-gram combination of convolutional neural networks, and the traditional Pinyin classification methods are compared.
Book ChapterDOI
A Novel Integrated Framework Approach for TEBC Technologies in Distributed Manufacturing Systems: A Systematic Review and Opportunities
TL;DR: This paper surveyed and analysed various articles systematically related to networked manufacturing in the context of knowledge creation and information, security, interoperability, and reliability, and presents a roadmap for future research directions and developments.
References
More filters
Posted Content
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques
Mehdi Allahyari,Seyedamin Pouriyeh,Mehdi Assefi,Saeid Safaei,Elizabeth D. Trippe,Juan B. Gutierrez,Krys J. Kochut +6 more
TL;DR: Several of the most fundamental text mining tasks and techniques including text pre-processing, classification and clustering are described, which briefly explain text mining in biomedical and health care domains.
Journal ArticleDOI
Data and knowledge mining with big data towards smart production
TL;DR: This paper reviews the development of D MTs in the big data era, and makes discussion on the applications of DMTs in production management, by selecting and analyzing the relevant papers since 2010.
Journal ArticleDOI
Textual data mining for industrial knowledge management and text classification: A business oriented approach
N. Ur-Rahman,Jennifer A. Harding +1 more
TL;DR: The research work presented in this paper is focused on the use of hybrid applications of text mining or textual data mining techniques to classify textual data into two different classes and showed that the performance of classifiers improved through adopting the proposed methodology.
Journal ArticleDOI
Construction accident narrative classification: An evaluation of text mining techniques.
TL;DR: The study evaluated six machine learning algorithms, including support vector machine (SVM), linear regression (LR), random forest (RF), k-nearest neighbor (KNN), decision tree (DT) and Naive Bayes (NB), and found that SVM produced the best performance in classifying the test set of 251 cases, and the linear SVM is recommended.
Book ChapterDOI
Using Text Mining Techniques for Extracting Information from Research Articles
TL;DR: A comprehensive overview about text mining and its current research status is demonstrated and experimental results indicated that Springer database represents the main source for research articles in the field of mobile education for the medical domain.