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Identifying e-Commerce in Enterprises by means of Text Mining and Classification Algorithms
Joint Authors
Bianchi, Gianpiero
Bruni, Renato
Scalfati, Francesco
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-08-09
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Monitoring specific features of the enterprises, for example, the adoption of e-commerce, is an important and basic task for several economic activities.
This type of information is usually obtained by means of surveys, which are costly due to the amount of personnel involved in the task.
An automatic detection of this information would allow consistent savings.
This can actually be performed by relying on computer engineering, since in general this information is publicly available on-line through the corporate websites.
This work describes how to convert the detection of e-commerce into a supervised classification problem, where each record is obtained from the automatic analysis of one corporate website, and the class is the presence or the absence of e-commerce facilities.
The automatic generation of similar data records requires the use of several Text Mining phases; in particular we compare six strategies based on the selection of best words and best n-grams.
After this, we classify the obtained dataset by means of four classification algorithms: Support Vector Machines; Random Forest; Statistical and Logical Analysis of Data; Logistic Classifier.
This turns out to be a difficult case of classification problem.
However, after a careful design and set-up of the whole procedure, the results on a practical case of Italian enterprises are encouraging.
American Psychological Association (APA)
Bianchi, Gianpiero& Bruni, Renato& Scalfati, Francesco. 2018. Identifying e-Commerce in Enterprises by means of Text Mining and Classification Algorithms. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1208747
Modern Language Association (MLA)
Bianchi, Gianpiero…[et al.]. Identifying e-Commerce in Enterprises by means of Text Mining and Classification Algorithms. Mathematical Problems in Engineering No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1208747
American Medical Association (AMA)
Bianchi, Gianpiero& Bruni, Renato& Scalfati, Francesco. Identifying e-Commerce in Enterprises by means of Text Mining and Classification Algorithms. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1208747
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1208747