Destitus S, Christevan and Wella, Wella and Suryasari, Suryasari (2020) Support Vector Machine VS Information Gain: Analisis Sentimen Cyberbullying di Twitter Indonesia. Ultima InfoSys : Jurnal Ilmu Sistem Informasi, 11 (2). ISSN 2549-4015
Full text not available from this repository.Abstract
This study aims to clarify tweets on twitter using the Support Vector Machine and Information Gain methods. The clarification itself aims to find a hyperplane that separates the negative and positive classes. In the research stage, there is a system process, namely text mining, text processing which has stages of tokenizing, filtering, stemming, and term weighting. After that, a feature selection is made by information gain which calculates the entropy value of each word. After that, clarify based on the features that have been selected and the output is in the form of identifying whether the tweet is bully or not. The results of this study found that the Support Vector Machine and Information Gain methods have sufficiently maximum results.
| Item Type: | Article |
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| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 006 Special Computer Methods |
| Sustainable Development Goals: | Goal 16. Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels Goal 03. Ensure healthy lives and promote well-being Goal 09. Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation |
| Divisions: | Faculty of Engineering & Informatics > Information System |
| Date Deposited: | 17 Dec 2021 07:43 |
| URI: | https://kc.umn.ac.id/id/eprint/19740 |
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