Text Classification

author: William Cohen, Carnegie Mellon University
published: Feb. 25, 2007,   recorded: September 2006,   views: 10148
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Slides

Slides
0:00 Text Classification: An Advanced Tutorial
0:39 Outline
1:29 Text Classification: definition
2:08 Text Classification: Examples
3:41 Text Classification: Examples01
4:29 Representing text for classification
4:52 Representing text: a list of words
5:47 Text Classification with Naive Bayes
7:19 Text Classification with Naive Bayes01
7:58 Text Classification with Naive Bayes02
9:24 Text Classification with Naive Bayes03
11:06 Naïve Bayes for SPAM filtering (Sahami et al, 1998)
12:08 circa 2003…
12:26 TITLE
12:42 Naive Bayes Summary
13:48 Outline
14:08 Representing text: a list of words
15:13 Representing text: a bag of words
16:51 The Curse of Dimensionality
20:09 Margin-based Learning
21:03 The Voted Perceptron
25:37 The Voted Perceptron: Proof
25:50 Lessons of the Voted Perceptron
26:48 More on Support Vectors for Text
28:31 Support Vector Machine Results
29:44 TF-IDF Representation
31:06 TF-IDF Representation01
32:20 Support Vector Machine Results
33:27 TF-IDF Representation
34:16 Other Fast Discriminative Methods
35:48 Other Fast Discriminative Methods01
36:33 Outline
36:50 Text Classification: Examples
37:37 Classifying Reviews as Favorable or Not
39:35 Classifying Reviews as Favorable or Not01
39:58 Classifying Reviews as Favorable or Not02
40:51 Classifying Movie Reviews
43:59 Classifying Movie Reviews01
44:36 Classifying Movie Reviews02
45:15 Classifying Movie Reviews03
45:27 Classifying Movie Reviews04
46:36 Classifying Movie Reviews05
46:45 Classifying Movie Reviews06
47:30 Classifying Movie Reviews07
48:23 Classifying Movie Reviews08
48:47 Outline
49:04 Classifying Email into Acts
49:35 Idea: Predicting Acts from Surrounding Acts
50:23 Evidence of Sequential Correlation of Acts
50:45 Content versus Context
51:30 Content versus Context01
51:54 Collective Classification algorithm (based on Dependency Networks Model)
53:03 Agreement versus Iteration
53:24 Outline
53:37 Summary & Conclusions

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Reviews and comments:

Comment1 Saad, January 20, 2008 at 11:38 a.m.:

Beautiful lecture.feel lucky to hear sir william


Comment2 Amanjit Singh Gill, March 4, 2008 at 10:14 a.m.:

Rock and roll...


Comment3 Nady Gomes, May 17, 2008 at 9:04 p.m.:

I am thinking to choose this topic for my project next year and I found this information really interesting.

Thank you


Comment4 Muhammad Rafi, May 30, 2008 at 9:28 a.m.:

Great Teaching ... best regards, R/\Fi


Comment5 shweta, June 6, 2008 at 8:03 a.m.:

sir i have a project in text classification. in my project i have to develop srls algo ,plz tell me how can i develop this algo?
thank you


Comment6 koushik, July 9, 2008 at 9:23 a.m.:

i am also doing work in text classification , my mail id koushikbuie@yahoo.co.in . contact wit me


Comment7 koushik, October 3, 2008 at 12:52 p.m.:

i am trying to reduce feature values. what are the different methods will be most efficient , TF_IDF,or any o0ther e4lse /
what is the importance of Latent semantic INdexing.


Comment8 TheProLabi, August 6, 2009 at 8:22 p.m.:

great lecture ,,
I'm working in spam detection
& i have troubles in reduction the list of words

if anyone interested in exchange experience or join me in this contact me a7medlabi@gmail.com


Comment9 Farhat Khan, October 29, 2009 at 8:48 p.m.:

The lecture is really interesting but it could be more impressive if an example of text classification is added. This would great help us.
Thanks for this precious piece of information.


Comment10 sruthi k, February 22, 2010 at 12:17 p.m.:

THE LECTURE IS INTERESTING.I AM ALSO DOING PROJECT WORK IN TEXT MINING.CAN U HELP ME IN THIS REGARD.? MY MAIL ID IS k.sruthi.osr@gmail.com


Comment11 Ramakrishna, February 24, 2010 at 2:41 p.m.:

Sir,
I am the student of JNT university located in India.I need some guidance regarding Text Classification.I am doing the project related to web document clustering... I need your help.Kindly send related work to my e-mail.
Thanking You Sir,


Comment12 azita, July 27, 2010 at 2:08 p.m.:

hi , im doing web clustering too.
my email is z_razmjoo@yahoo.com
contact me


Comment13 Daniyar, February 15, 2011 at 4:10 p.m.:

The lecture is very useful and helpful. Thank you Sir.


Comment14 jetmir sadiku, April 2, 2011 at 1:26 p.m.:

Great..this is a fantastic job. I am doing a Master thesis in text classification and it would be helpful for me to orientate in this field. Thank you for this presentation. Please send me any useful information at jetmirsadiku@gmail.com

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