Curriculum
- 7 Sections
- 19 Lessons
- Lifetime
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- 1 đź’ˇin | Layanan AI untuk Kelas SMA3
- 1 đź’ˇin | Text Preprocessing and Representations7
- 2.1Pre Test
- 2.2Pengantar NLP
- 2.3Stopwords Bahasa Indonesia
- 2.4Crowling, steaming data twitter
- 2.5Pengantar Social Network Analysis
- 2.6Tokenisasi dengan TextBlob, Morphological-Linguistic Normalization: Stemming & Lemmatization, Text Level Normalization: StopWords
- 2.7Quiz Social Media Analytics: Preprocessing, Sentimen, dan NER3 Questions
- 1 đź’ˇin | Text Visualizations, and Introduction to Sentimen Analysis6
- 3.1pengantar Analisis sentimen
- 3.2sentiment analisis menggunakan Textblob, svm dan spacy
- 3.3Praktek NER
- 3.4Custom Named Entity Recognition with Spacy3
- 3.5Text Sentiment Classification tanpa training data menggunakan Zero-Shot pipeline
- 3.6Quiz Social Media Analytics: Preprocessing, Sentimen, dan NER Day 210 Minutes7 Questions
- 1 đź’ˇin | Kontent Bonus1
- 1 đź’ˇin | Dokumentasi Kelas2
- 1 đź’ˇin | Script Penunjang1
- 1 đź’ˇin | Projek Akhir1
Scrowling, Pre -Processing dan Visualization Data
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