ANALISA SENTIMEN TWEET BERBAHASA INDONESIA DENGAN MENGGUNAKAN METODE PEMBOBOTAN HYBRID TF-IDF PADA TOPIK TRANSPORTASI ONLINE
| Main Author: | Wahyunita, Sari |
|---|---|
| Format: | Thesis NonPeerReviewed Book |
| Bahasa: | eng |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
http://eprints.umm.ac.id/40239/1/Pendahuluan.pdf http://eprints.umm.ac.id/40239/2/BAB%20I.pdf http://eprints.umm.ac.id/40239/3/BAB%20II.pdf http://eprints.umm.ac.id/40239/4/BAB%20III.pdf http://eprints.umm.ac.id/40239/5/BAB%20IV.pdf http://eprints.umm.ac.id/40239/6/BAB%20V.pdf http://eprints.umm.ac.id/40239/7/Lampiran.pdf http://eprints.umm.ac.id/40239/ |
Daftar Isi:
- In recent years, there are same new companies which uses android applications in their service process or commonly called with online based transportation. This case do for improve their service to online based transportations customers. The presence of online based transportation like Gojek, Grab, and Uber inflict social problem between online based transportations drivers with non-aplication based transportations drivers. The is due to most of the people change over to online based transportation, so non-aplication based transportations drivers income decreased. In this research, sentiment analysis against Indonesian tweets about online based transportation by using Hybrid TF-IDF weighting method and kNN classification method. The best cross validation result on the test k variable are k=5 with accuracy value of 70%, positive class precision 68%, negative class precision 75%, positive class recall 82%, negative class recall 59%, positive class f-measure 74%, and negatif class f-measure 65%.