Pengolahan Bahasa Alami
Natural Language Processing · Kecerdasan Buatan & Grafik · 3 sks pilihan · MIK1624827 (2020: PAIK6818)
Prasyarat Pembelajaran Mesin
Materi
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Catatan
Silabus
- 1 Pengantar Pengolahan Bahasa Alami
- 2 Algoritma String Matching dan Probabilistic Language Modelling
- 3 Text Classification
- 4 Sentiment Analysis
- 5 Topic Modelling
- 6 Word Embedding
- 7 Convolutional Neural Network untuk klasifikasi teks
- 8 Text Clustering
- 9 Part-of-speech tagging
- 10 Context free grammar (CFG)
- 11 Parsing pada CFG
- 12 Question answering
- 13 Text Summarization
- 14 Machine translation
Sumber: Silabus Informatika 2020 (PAIK6818).
Referensi
- Christoper D. Manning and Hinrich Schutze, Foundation of Statistical Natural Language Processing, (Massachusetts: MIT Press, 2000)
- Daniel Jurafsky and James H. Martin, Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
- Bing Liu. Sentiment Analysis and Opinion Mining, (Morgan & Claypool Publishers, 2012)
- Taweh Beysolow II, Applied Natural Language Processing with Python, Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing, (California: Apress, 2018)