Abstract
| Original language | English |
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| Awarding Institution |
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| Supervisors/Advisors |
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| Award date | 10 Mar 2017 |
| Place of Publication | Enschede |
| Publisher | |
| Print ISBNs | 978-90-365-4300-2 |
| DOIs | |
| Publication status | Published - 10 Mar 2017 |
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Keywords
- IR-103746
- METIS-321634
Cite this
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Text as social and cultural data : a computational perspective on variation in text. / Nguyen, Dong-Phuong.
Enschede : Universiteit Twente, 2017. 240 p.Research output: Thesis › PhD Thesis - Research UT, graduation UT
TY - THES
T1 - Text as social and cultural data
T2 - a computational perspective on variation in text
AU - Nguyen, Dong-Phuong
N1 - SIKS dissertation series no. 2017-09
PY - 2017/3/10
Y1 - 2017/3/10
N2 - Massive digital datasets, such as social media data, are a promising source to study social and cultural phenomena. They provide the opportunity to study language use and behavior in a variety of social situations on a large scale and often with the availability of detailed contextual information. However, to fully leverage their potential for research the social sciences and the humanities, new computational approaches are needed. This dissertation explores computational approaches to text analysis for studying cultural and social phenomena and focuses on two emerging areas: computational sociolinguistics and computational folkloristics. Both areas share the recognition that variation in text is often meaningful and may provide insights into social and cultural phenomena. This dissertation develops computational approaches to analyze and model variation in text.
AB - Massive digital datasets, such as social media data, are a promising source to study social and cultural phenomena. They provide the opportunity to study language use and behavior in a variety of social situations on a large scale and often with the availability of detailed contextual information. However, to fully leverage their potential for research the social sciences and the humanities, new computational approaches are needed. This dissertation explores computational approaches to text analysis for studying cultural and social phenomena and focuses on two emerging areas: computational sociolinguistics and computational folkloristics. Both areas share the recognition that variation in text is often meaningful and may provide insights into social and cultural phenomena. This dissertation develops computational approaches to analyze and model variation in text.
KW - IR-103746
KW - METIS-321634
U2 - 10.3990/1.9789036543002
DO - 10.3990/1.9789036543002
M3 - PhD Thesis - Research UT, graduation UT
SN - 978-90-365-4300-2
PB - Universiteit Twente
CY - Enschede
ER -