Tiziana CARPI
Biographic Data
| ID | 7562027 |
|---|---|
| NAME | Tiziana CARPI |
| GIVEN NAMES | Tiziana |
| FAMILY NAME | CARPI |
| SIGNATURE | CARPI T |
| AFFILIATIONS | University of Milan |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
A Japanese Subjective Well-Being Indicator Based on Twitter Data
This study presents for the first time the SWB-J index, a subjective well-being indicator for Japan based on Twitter data. The index is composed by eight dimensions of subjective well-being and is estimated relying on Twitter data by using human supervised sentiment analysis. The index is then compared with the analogous SWB-I index for Italy in order to verify possible analogies and cultural differences. Further, through structural equation mode…
Is Japanese Gendered Language used on Twitter? A Large Scale Study
This study analyzes the usage of Japanese gendered language on Twitter. Starting from a collection of 408 million Japanese tweets from 2015 till 2019 and an additional sample of 2355 manually classified Twitter accounts timelines into gender and categories (politicians, musicians, etc). A large scale textual analysis is performed on this corpus to identify and examine sentence-final particles (SFPs) and first-person pronouns appearing in the text…
No prominent works on this page.
Is Japanese Gendered Language used on Twitter? A Large Scale Study
This study analyzes the usage of Japanese gendered language on Twitter. Starting from a collection of 408 million Japanese tweets from 2015 till 2019 and an additional sample of 2355 manually classified Twitter accounts timelines into gender and categories (politicians, musicians, etc). A large scale textual analysis is performed on this corpus to identify and examine sentence-final particles (SFPs) and first-person pronouns appearing in the text…
A Japanese Subjective Well-Being Indicator Based on Twitter Data
This study presents for the first time the SWB-J index, a subjective well-being indicator for Japan based on Twitter data. The index is composed by eight dimensions of subjective well-being and is estimated relying on Twitter data by using human supervised sentiment analysis. The index is then compared with the analogous SWB-I index for Italy in order to verify possible analogies and cultural differences. Further, through structural equation mode…
Computer Science (2 works) · Artificial Intelligence (1 work) · Cartography (1 work) · Complex Network Analysis Techniques (1 work) · Digital Communication and Language (1 work) · Dimension (graph theory) (1 work) · Econometrics (1 work) · Economics (1 work) · Gender Studies in Language (1 work) · Geography (1 work)