'Idf inverse document frequency' diaporamas de présentation

Relevance Ranking

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Information Retrieval

Information Retrieval. CSE 8337 (Part II) Spring 2011 Some Material for these slides obtained from: Modern Information Retrieval by Ricardo Baeza -Yates and Berthier Ribeiro-Neto http://www.sims.berkeley.edu/~hearst/irbook/

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Vector Space Model

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CES 514 Data Mining March 11, 2010

CES 514 Data Mining March 11, 2010 Lecture 5: scoring, term weighting, vector space model (Ch 6). Model for ranking documents. Ranked retrieval Zones, parameters in querying Scoring documents Term frequency Collection statistics Weighting schemes Vector space scoring.

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Information Retrieval and Vector Space Model Presented by Jun Miao York University

Information Retrieval and Vector Space Model Presented by Jun Miao York University. Information Retrieval (IR). What is Information Retrieval?. = IR ? IR: Retrieve information which is relative to your need Search Engine Question Answering

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Text Processing and Information Retrieval System

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CS276 Information Retrieval and Web Mining

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ITCS 6265 Information Retrieval and Web Mining

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Day 13

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Statistical source expansion for question answering

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CS246

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Outlines

High Relevance Keyword Extraction facility for Bayesian text classification on different domains of varying characteristic. Presenter : Min-Cong Wu Authors : Lam Hong Lee, Dino Isa, Wou Onn Choo , Wen Yeen Chue 2012.ESA. Outlines. Motivation Objectives Methodology Experiments

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Project 1: Text Classification by Neural Networks

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??????. ?? ???????. Outline. Introduction TF-IDF Similarity. Introduction. Why ? Text mining ? Web mining How ? Classification or Clustering Retrieval. ????????. ??? ????????????????? ?????????? ?????????????????????? ???? ?????. ???????. ??????????????? ?????

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TF/IDF Ranking

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