Presentation on theme: "1 “GARIS-GARIS BESAR PROGRAM PENGAJARAN” PEMROSESAN TEKS “GARIS-GARIS BESAR PROGRAM PENGAJARAN” PEMROSESAN TEKS SHINTA P STMIK GI MDP 2012."— Presentation transcript:
1 “GARIS-GARIS BESAR PROGRAM PENGAJARAN” PEMROSESAN TEKS “GARIS-GARIS BESAR PROGRAM PENGAJARAN” PEMROSESAN TEKS SHINTA P STMIK GI MDP 2012
ABOUT ME Bachelor Degree In Mathematics, University Of Sriwijaya Master Degree In Computer Science University Of Indonesia Domain Interest : IR, Image & Text Processing Mail me : email@example.com@stmik-mdp.net
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) ATTENDANCE 10 minutes late are allow 75% attendance in the class BEHAVIOR DURING THE CLASS Be respectful to each other and to all materials. No talking while materials are presented No 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.
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