Wikarsa, Liza (2014) Steps in Text Mining Using Classification Methods. Jurnal Ilmiah RealTech. ISSN 1907-0837
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Abstract
Text mining is useful for extracting logical patterns and rules from the unstructured data. However, the process can be complicated due to the complexity and amount of data itself. There are various classification methods to choose from, depending on the goals at hand. Hence, there is a need to have steps in text mining using classification methods that is customary to provide valuable knowledge for better decision makings by identifying issues pertinent to data collection, cleaning, and pre-processing that can help to avoid overfitting.
| Item Type: | Article | ||||
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| Subjects: | T Technology > T Technology (General) | ||||
| Divisions: | Fakultas Teknik > Teknik Informatika | ||||
| Depositing User: | UPT Perpustakaan Universitas Katolik De La Salle Manado | ||||
| Date Deposited: | 06 Jun 2023 03:49 | ||||
| Last Modified: | 06 Jun 2023 03:49 | ||||
| URI: | http://repo.unikadelasalle.ac.id/id/eprint/2802 |
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