Data Analytics in Cognitive Linguistics : : Methods and Insights / / ed. by Dennis Tay, Molly Xie Pan.
Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical an...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2022 Part 1 |
---|---|
MitwirkendeR: | |
HerausgeberIn: | |
Place / Publishing House: | Berlin ;, Boston : : De Gruyter Mouton, , [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Series: | Applications of Cognitive Linguistics [ACL] ,
41 |
Online Access: | |
Physical Description: | 1 online resource (VI, 346 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Frontmatter
- Contents
- Data analytics in cognitive linguistics
- Mapping the landscape of exploratory and confirmatory data analysis in linguistics
- Time series analysis with python
- Structural equation modeling in R: A practical introduction for linguists
- Visualizing distributional semantics
- Lectal variation in Chinese analytic causative constructions: What trees can and cannot tell us
- Personification metaphors in Chinese video ads: Insights from data analytics
- The interaction between metaphor use and psychological states: A mix-method analysis of trauma talk in the Chinese context
- Prospecting for metaphors in a large text corpus: Combining unsupervised and supervised machine learning approaches
- Cognitive linguistics meets computational linguistics: Construction grammar, dialectology, and linguistic diversity
- What Cognitive Linguistics can learn from dialectology (and vice versa)
- Index