CS276B Web Search and Mining Lecture 10 Text Mining I Feb 8, 2005 (includes s borrowed from Marti Hearst) Text Mining Today Introduction Lexicon construction ...
CS276B Web Search and Mining Lecture 13 Text Mining II: QA systems (includes s borrowed from ISI, Nicholas Kushmerick, Marti Hearst, Mihai Surdeanu and Marius Pasca)
CS276B Text Retrieval and Mining Winter 2005 Lecture 9 Plan for today Web size estimation Mirror/duplication detection Pagerank Size of the web What is the size of ...
CS276B Text Information Retrieval, Mining, and Exploitation Lecture 4 Text Categorization I Introduction and Naive Bayes Jan 21, 2003 Is this spam? From ...
How big is the lexicon V? Grows (but more slowly) with corpus size. Empirically okay model: ... Query car tyres car tyres automobile tires. Can expand index ...
... basics for the project Possible project topics Helpful tools you might want to know about Overview of 276B Consider it the ... Project presentations ...
Web Search and Mining. Lecture 14. Text Mining II (includes s borrowed from G. Neumann, M. Venkataramani, R. Altman, L. Hirschman, and D. Radev) Text Mining ...
as provided by some Stanford students. Which restaurant(s) should I recommend to you? ... This would entail finding the similarity of the query to every doc - slow! ...
The directory /afs/ir/class/cs276b/data/ will contain: Special directories, in which a file for a ... Can do UPDATE in similar fashion. JDBC Conventions (3) ...
I am 22 years old and I have already purchased 6 properties using the ... e.g., 'is a toner cartridge ad' :'isn't' Methods (1) Manual classification ...
user satisfaction ratings. correlation or mean squared error (if you're predicting values) ... predicted ratings are weighted averages using user's Pearson correlation ...
http://www.chi-sa.org.za/seminarsandton.pdf. RS Inputs - revisited ... Typically, machine learning methodology. Get a dataset of opinions; mask 'half' the opinions ...
Title: CS276B Text Information Retrieval, Mining, and Exploitation Author: Christopher Manning Last modified by: etzioni Created Date: 1/27/2003 5:44:14 AM
Imagine a surfer surfing the WWW. At each step of the walk, the surfer will perform ... Let xp(t) be the probability that the surfer is at the page p at time t. ...
CS276B Text Information Retrieval, Mining, and Exploitation Lecture 5 23 January 2003 Recap Today s topics Feature selection for text classification Measuring ...
... Two Classes One-of classification: each document belongs to exactly ... Based on Regularized Linear Classification Methods ... word content alone to ...
... Getting information is the most highly valued and most popular type of everyday activity done online ... bidding for keywords) do ... More spam techniques ...