Text Mining Process
Pipeline (01 Intro s.11, s.30): Text -> 1. Text Preprocessing (syntactic and/or semantic analysis) -> 2. Feature Generation (bag of words, word embeddings) -> 3. Feature Selection (reduce large number of features) -> 4. Data Mining / Pattern Discovery (clustering, classification, association analysis) -> Interpretation / Evaluation. Dotted feedback arrows from every stage back to the start: the process is iterative.
flowchart LR T[Text] --> P[Preprocessing] --> F[Feature Generation] --> S[Feature Selection] --> D[Data Mining] --> I[Interpretation/Evaluation]
Related
Concept - Text Mining | Concept - Text Preprocessing | Concept - Bag of Words | Concept - Word Embeddings | Concept - Feature Selection