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Overview of methods and approaches in Digital Humanities
Published on Jul 27, 20172048 Views
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Chapter list
Doing Text Analytics for Digital Humanities and Social Sciences with CLARIN00:00
Overview of methods and approaches in Digital Humanities00:10
Alan Turing01:42
Tutorial: Day program03:20
Methods and approaches in Digital Humanities06:24
CLARIN in five bullets15:15
CLARIN ERIC: 19 members, 2 observers17:27
CLARIN in data types18:41
CLARIN19:12
Digital humanities - 119:49
Digital humanities - 224:00
The green button •27:02
Corpus cleanup and text normalization29:54
TICCL 34:33
Stanford CoreNLP pipeline (English)34:57
Frog pipeline (Dutch)39:44
Other pipelines41:37
Pipelines?43:05
It starts with a question44:51
The rest of the plumbing48:01
Other annotation tools57:54
Information need - 101:00:09
Information need - 201:04:47
Information vs. language - 101:07:06
Information vs. language - 201:09:32
Mixed techniques01:09:51
Historical Timeline Mining and Extraction01:12:28
HiTiME aims01:12:29
What makes dream text dreamy?01:12:54
Dreaming Language Machines01:13:08
Overview01:13:21
What is the Dreambank and who uses it?01:14:21
Dreambank studies01:14:50
Lama version of the Dreambank01:16:18
LDA topic modeling on the Dreambank01:16:56
LDA topics confirm observation that dreams relate to daily events and concerns01:18:12
Comparison on subset Hall vd Castle men vs. women (loglikelihood test)01:18:29