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1 “GARIS-GARIS BESAR PROGRAM PENGAJARAN” PEMROSESAN TEKS “GARIS-GARIS BESAR PROGRAM PENGAJARAN” PEMROSESAN TEKS SHINTA P STMIK GI MDP 2012.

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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 1 “GARIS-GARIS BESAR PROGRAM PENGAJARAN” PEMROSESAN TEKS “GARIS-GARIS BESAR PROGRAM PENGAJARAN” PEMROSESAN TEKS SHINTA P STMIK GI MDP 2012

2 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 :

3 SYLLABUS

4 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

5 Rencana Kuliah No.Topik 8.Text Classification 9.Clustering 10.Text Summarization Multimedia Information Retrieval System (MIRS) 13.Question Answering System and CLIR 14.Web Search UAS

6 References Modern Information Retrieval, Ricardo & Berthier, Addison, 1999 Statistical Natural Language Processing, 2002

7 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.

8 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

9 RULES OF THE CLASS (3/3) CONSEQUENCES  To be sent out of the current class.  Point deduction.

10 10 THANKS FOR YOUR GOOD ATTENTION QA!

11 Overview IR

12 SE Top Rank

13

14 Web spider

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16 Why SE ?


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