Title Details: | |
Text Analysis with RapidMiner |
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Authors: |
Maravelakis, Petros |
Description: | |
Abstract: |
In this chapter, data mining methods for texts are presented. The basic definitions and techniques for text analysis will be given. A case study will follow in which, with the help of RapidMiner, we will create a process that separates spam from non-spam emails. We will then apply the model we have come up with to new messages to decide whether they are spam or not. The same techniques used for spam classification can be used in many other areas of text mining.
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Linguistic Editors: |
Paxinou, Evgenia |
Graphic Editors: |
Skouloudis, George |
Type: |
Chapter |
Creation Date: | 01-05-2024 |
Item Details: | |
License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
Handle | http://hdl.handle.net/11419/13260 |
Bibliographic Reference: | Maravelakis, P. (2024). Text Analysis with RapidMiner [Chapter]. In Maravelakis, P. 2024. Business Data Mining [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/13260 |
Language: |
Greek |
Is Part of: |
Business Data Mining |
Publication Origin: |
Kallipos, Open Academic Editions |