Natural Language Processing Essentials

Dasar pengolahan teks di Python: string manipulation, regular expressions, dan teknik text preprocessing.

1. 1Python Text Basics Bagian 1Gratis
2. 2Python Text Basics Bagian 2
3. 3Python Text Basics Bagian 3
4. 4Python Text Basics Bagian 4
5. 5Python Text Basics Bagian 5
6. 6Python Text Basics Bagian 6

Fondasi NLP: tokenization, stemming, lemmatization, stopword removal, dan bag of words representation.

1. 1Dasar-Dasar NLP Bagian 1Gratis
2. 2Dasar-Dasar NLP Bagian 2
3. 3Dasar-Dasar NLP Bagian 3
4. 4Dasar-Dasar NLP Bagian 4
5. 5Dasar-Dasar NLP Bagian 5
6. 6Dasar-Dasar NLP Bagian 6

POS tagging dan NER: memahami struktur bahasa, mengidentifikasi entitas (nama, lokasi, organisasi) dalam teks secara otomatis.

1. 1Part of Speech & Named Entity Recognition Bagian 1Gratis
2. 2Part of Speech & Named Entity Recognition Bagian 2
3. 3Part of Speech & Named Entity Recognition Bagian 3
4. 4Part of Speech & Named Entity Recognition Bagian 4
5. 5Part of Speech & Named Entity Recognition Bagian 5
6. 6Part of Speech & Named Entity Recognition Bagian 6

Text classification: TF-IDF, feature extraction dari teks, dan membangun model klasifikasi teks menggunakan ML.

1. 1Text Classification Bagian 1Gratis
2. 2Text Classification Bagian 2
3. 3Text Classification Bagian 3
4. 4Text Classification Bagian 4
5. 5Text Classification Bagian 5
6. 6Text Classification Bagian 6

Latihan dan project portfolio NLP: bangun sistem text classification end-to-end dari preprocessing hingga deployment model.

1. 1Exercise & Project Portfolio 11 – Text ClassificationGratis