Text Mining 2017/2018

1. RPKPS TextMining

2. Text Pre-Processing | Text Pre-Processing PDF

3. Document Indexing and Term Weighting

3.1. Stopwords

3.2. Contoh Source Code Preprocessing

4. Information Retrieval |  Vector-Space-Models

5. Information-Extraction-and-Named-Entity-Recognition

6. Rule Based NER | Naive-Bayes-Based-NER

7. Naive Bayes Classification Kelas B | Naive Bayes Classification Kelas A

8. KNN Classification

9. K Means Clustering kelas B | K Means Clustering kelas A

10.Twitter Sentiment Analysis Feature Extraction | Paper Referensi

11. Kamus Kata Positif, Negatif, Emoticon, Intensifier, dll | Kateglo

12. Paper Referensi 1 | Paper Referensi 2

13. Naive Bayes Issues

https://www.quora.com/What-is-the-best-way-to-use-continuous-variables-for-a-naive-bayes-classifier-Do-we-need-to-cluster-them-or-leave-for-self-learning-Pls-help

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