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Identifying e-Commerce in Enterprises by means of Text Mining and Classification Algorithms
المؤلفون المشاركون
Bianchi, Gianpiero
Bruni, Renato
Scalfati, Francesco
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-08-09
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1208747
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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