텍스트마이닝의 알고리즘

1. 사전기반 접근방법(Dictionary-base approach)

- 감정어휘 사전(sentiment lexicon)
- 감성분석(sentiment analysis)

2. 기계학습 접근방법(Machine Learning approach)

2.1 supervised learning
- Topic Analysis
- Sentiment Analysis
- Regression analysis, Logistic regression analysis, Generalized linear model, Naive Bayes classification, Support Vector Machine, Classification and Regression Tree, Boosting, etc

2.2 unsupervised learning
- PCA(Principal Component Analysis), CA(Clustering Analysis)
- Topic Model : LDA(Latent Dirichlet Allocation), CTM(Correlated Topic Model), STM(Structural Topic Model)