Robust Dynamic Topic Derivation Implementation
| Main Author: | Nugroho, Robertus Setiawan Aji |
|---|---|
| Format: | Monograph NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
Unika Soegijapranata
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| Subjects: | |
| Online Access: |
http://repository.unika.ac.id/22017/1/Dynamic%20Topic%20Derivation%20Infrastructure.pdf http://repository.unika.ac.id/22017/2/ST%20Pak%20Aji%20Penelitian%20Robust%20Dynamic.pdf http://repository.unika.ac.id/22017/3/pengesahanHadoop.pdf http://repository.unika.ac.id/22017/ |
Daftar Isi:
- There are quite a few algorithms and methods available to derive topics from social media in near real time fashion. Recently, the approach to incorporate both social interactions and content has shown a significant improvement on the quality of identified topics. However, the performance of the implementation has not yet been visited. Most of the existing works have focused on a static dataset and might not be effective for an online situation. This research is the second part of the previous work on proposing a new approach for performing a dynamic topic derivation process in social media. The approach considers the sensitivity of keywords and time period to improve the accuracy of the topic derivation process. In this research, we will test different configurations to find the most effective and efficient infrastucture setup.