Active learning in E-Commerce Merchant Classification using Website Information
Aktivní učení pro klasifikaci
diploma thesis (DEFENDED)
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Permanent link
http://hdl.handle.net/20.500.11956/181873Identifiers
Study Information System: 247770
Collections
- Kvalifikační práce [11267]
Author
Advisor
Referee
Pilát, Martin
Faculty / Institute
Faculty of Mathematics and Physics
Discipline
Computer Science - Artificial Intelligence
Department
Department of Theoretical Computer Science and Mathematical Logic
Date of defense
12. 6. 2023
Publisher
Univerzita Karlova, Matematicko-fyzikální fakultaLanguage
English
Grade
Very good
Keywords (Czech)
aktivní učení|klasifikace|e-komerceKeywords (English)
Active learning|Web mining|Classification|E-commerceData and the collection and analysis of data plays an important role in everyday life even though it often goes unseen. In our case, our partner is using data to classify websites into different categories. We used active learning and other machine learning methods to help classify websites into these categories and to explore the data collection and classification process. We scraped text data from websites, translated the data to English, and then worked with machine learning tools to understand the data and classify it. We found that the xPAL active learning strategy and linear support vector classifiers seemed to perform best with our data. 1