by ChengXiang "Cheng" Zhai CONTENT 1. Natural Language Content Analysis 2. Text Access 3. Text Retrieval Problem 4. Text Retrieval Methods 5. Vector Space Model (Retrieval Model l) 6. System Implementation 7. Evaluation 8. Probabilistic Model (Retrieval Model ll) 9. Feedback 10. Web Search Harnessing Big Text Data: Text Retrieval + Text Mining Course Summary 1. Natural Language Content Analysis 1.1 Natural Language Processing (NLP) Natural Language Processing (NLP) is a field of computer science, artificial intelligence, and computational linguisitc concerned with the interactions between computers and human (natural) languages. As such, NLP is related to the area of human-computer interaction. Many challenges in NLP involve natural language understanding, that is, enabling computers to derive meaning from human or natural language input, and others involve natural language generation. Computers can understand human language like that Koreans understand English. but, it's...