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Processing social media data: can we circumvent the Tower of Babel?
Published on Aug 01, 2017948 Views
Social media are known to be a diverse and rich source of information for various areas of research. However, they pose a series of processing challenges due to the linguistic and cultural diversi
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Chapter list
Processing Social Media Data: Can we Circumvent the Tower of Babel?00:00
Problem - 100:21
Problem - 200:25
Problem - 300:31
Problem - 400:51
Problem - 501:05
Problem - 601:25
Problem - 702:00
Overview - 102:20
Overview - 202:25
Overview - 303:28
Very brief history of text processing - 104:23
Very brief history of text processing - 204:51
Very brief history of text processing - 305:19
How to approach processing non-standard text - 106:37
How to approach processing non-standard text - 206:54
How to approach processing non-standard text - 307:16
How to approach processing non-standard text - 407:48
Normalisation - 108:19
Normalisation - 212:13
Tagging14:00
Normalisation data vs. tagging data (work in progress) - 120:08
Normalisation data vs. tagging data (work in progress) - 221:18
Normalisation data vs. tagging data (work in progress) - 322:29
Normalisation data vs. tagging data (work in progress) - 422:44
Cross-lingual processing - 123:08
Cross-lingual processing - 226:45
Cross-lingual processing - 328:07
User profiling experiments - 128:43
User profiling experiments - 228:49
User profiling experiments - 329:54
Language-agnostic features30:23
User type identification - 133:01
User type identification - 235:24
Feature analysis - 138:52
Feature analysis - 238:55
Gender prediction - 139:25
Gender prediction - 241:35
Feature effect sizes42:57
Clustering countries by feature effect sizes50:52
Conclusion51:22
Acknowledgement - 154:42
Acknowledgement - 254:55
Next venture55:04
Thank you55:33