Tutorial on Text Mining and Link Analysis for Web and Semantic Web00:03
Outline00:45
Text-Mining02:09
Why Do We Analyze Text?02:11
What Is Text-Mining?03:09
Why Dealing with Text Is Tough? 03:47
Why Dealing with Text Is Easy?04:58
Who Is in the Text Analysis Arena?05:52
What Dimensions Are in Text Analytics?07:40
How Dimensions Fit to Research Areas?09:08
Broader Context: Web Science09:55
Text-Mining - How Do We Represent Text?10:50
Levels of Text Representations pt 110:57
Levels of Text Representations pt 212:39
Character Level12:43
Good and Bad Sides13:21
Levels of Text Representations pt 314:58
Word Level15:04
Words Properties15:46
Stop-Words17:47
Word Character Level Normalization18:25
Stemming (1/2)19:08
Stemming (2/2)19:44
Levels of Text Representations pt 421:03
Phrase Level21:13
Google N-Gram Corpus22:17
Example: Google N-Grams23:03
Levels of Text Representations pt 523:20
Part-of-Speech Level23:39
Part-of-Speech Table24:44
Part-of-Speech Examples25:20
Levels of Text Representations pt 625:52
Taxonomies/Thesaurus Level26:01
WordNet – Database of Lexical Relations26:49
WordNet – Excerpt from the Graph27:28
WordNet Relations28:03
WordNet – Excerpt from the Graph (a)28:07
WordNet Relations (a)28:16
Levels of Text Representations pt 729:05
Vector-Space Model Level29:15
Bag-of-Words Document Representation30:28
Word Weighting31:00
Example Document and Its Vector Representation32:19
Similarity between Document Vectors32:43
Levels of Text Representations pt 833:53
Language Model Level34:01
Levels of Text Representations pt 935:07
Full-Parsing Level35:11
Levels of Text Representations pt 1036:12
Cross-Modality Level36:25
Example: Aligning Text with Audio, Images and Video37:23
Levels of Text Representations pt 1138:43
Collaborative Tagging38:58
Example: flickr.com Tagging39:56
Example: del.icio.us Tagging40:23
Example: flickr.com Tagging (a)40:27
Example: del.icio.us Tagging (a)40:29
Levels of Text Representations pt 1241:18
Template / Frames Level41:23
Examples of Templates of KnowItAll System41:36
Levels of Text Representations pt 1342:55
Ontologies Level43:02
Example: Text Represented in the First Order Logic43:23
Text-Mining - Typical Tasks on Text44:28
Document Summarization pt 144:51
Document Summarization pt 244:52
Selection Based Summarization45:55
Example of Selection Based Approach from MS Word47:33
Knowledge Rich Summarization48:04
Knowledge Rich Summarization Example48:32
Training of Summarization Model50:10
Example of Summarization50:39
Automatically Generated Graph of Summary Triples50:45
Text Segmentation pt 153:18
Text Segmentation pt 253:20
Hearst Algorithm for Text Segmentation53:21
Supervised Learning53:23
Document Categorization Task53:48
Document Categorization54:45
Algorithms for Learning Document Classifiers55:24
Example Learning Algorithm: Perceptron56:01
