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““GARIS-GARIS BESAR PROGRAM GARIS-GARIS BESAR PROGRAM
PENGAJARAN”PENGAJARAN”
PEMROSESAN TEKSPEMROSESAN TEKS
““GARIS-GARIS BESAR PROGRAM GARIS-GARIS BESAR PROGRAM
PENGAJARAN”PENGAJARAN”
PEMROSESAN TEKSPEMROSESAN TEKS
SHINTA P
STMIK GI MDP
2012
ABOUT ME
Bachelor Degree In Mathematics, University Of SriwijayaMaster Degree In Computer Science University Of IndonesiaDomain Interest : IR , Image & Text
ProcessingMail me : [email protected]
SYLLABUS
Rencana Kuliah
No. Topik
1. Pendahuluan
2. Aplikasi pemrosesan teks
3. Inverted index
4. Model IR
5. Evaluasi IR
6. Relevance Feedback and Query Expansion
7. Probabilistic IR
UTS
Rencana Kuliah
No. Topik
8. Text Classification
9. Clustering
10. Text Summarization
11.
12. Multimedia Information Retrieval System (MIRS)
13. Question Answering System and CLIR
14. Web Search
UAS
References
Modern Information Retrieval, Ricardo & Berthier, Addison, 1999
Statistical Natural Language Processing, 2002
RULES OF THE CLASS (1/3)
ATTENDANCE10 minutes late are allow75% attendance in the class
BEHAVIOR DURING THE CLASSBe respectful to each other and to all materials.No talking while materials are presentedNo eating or drinking in the classroom.Follow all other school and district rules. I encourage you to ask questions, do not hesitate
to ask.
RULES OF THE CLASS (2/3)
ASSIGNMENT
No late work will be accepted unless you are absent because of sickness.
All assignments will be turned in at the beginning of class. After class starts the assignment can still be turned in but ten points will be deducted .
Quiz at the end of the class
RULES OF THE CLASS (3/3)
CONSEQUENCES To be sent out of the current class. Point deduction.
10
THANKS FOR YOUR GOOD ATTENTION
QA!
Overview IR
SE Top Rank
Web spider
Why SE ?
