AUTOMATIC SEMANTIC ORIENTATION OF
ADJECTIVES FOR INDONESIAN LANGUAGE
DEWI RIYANTI
Informasi Umum
Kode
17.05.185
Klasifikasi
004.21 - Systems Analysis and Computer Design
Jenis
Karya Ilmiah - Thesis (S2) - Reference
Subjek
Data Mining-clustering Analysis
Dilihat
48 kali
Informasi Lainnya
Abstraksi
We present our work in the area of sentiment analysis for Indonesian language. We focus on bulding automatic semantic orientation using available resources in Indonesian. In this research we used Indonesian corpus that contains 9 million words from kompas.txt and tempo.txt that manually tagged and annotated with of part-of-speech tagset. And then we construct a dataset by taking all the adjectives from the corpus, removing the adjective with no orientation. The set contained 923 adjective words. This systems will include several steps such as text pre-processing and clustering. The text pre-processing aims to increase the accuracy. And nally clustering method will classify each word to related sentiment which is positive or negative. With improvements to the text preprocessing, can be achieved 72% of accuracy. Keywords: sentiment analysis, Indonesia language, automatic semantic orientation, adjective words.
- CSG5G3 - DATA MINING LANJUT
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | DEWI RIYANTI |
| Jenis | Perorangan |
| Penyunting | MOCH. ARIF BIJAKSANA, ADIWIJAYA |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom |
| Kota | Bandung |
| Tahun | 2017 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
