Embeddings-based detection of word use variation in Italian newspapers
We study how words are used differently in two Italian newspapers at opposite ends of the political spectrum by training embeddings on one newspaper’s corpus, updating the weights on the second one, and observing vector shifts. We run two types of analysis, one top-down, based on a preselection of f...
Saved in:
| Main Authors: | Michele Cafagna, Lorenzo De Mattei, Malvina Nissim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Accademia University Press
2020-12-01
|
| Series: | IJCoL |
| Online Access: | https://journals.openedition.org/ijcol/703 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using Word Embeddings for Italian Crime News Categorization
by: Giovanni Bonisoli, et al.
Published: (2021-09-01) -
A Collection of Swedish Diachronic Word Embedding Models Trained on Historical Newspaper Data
by: Simon Hengchen, et al.
Published: (2021-01-01) -
Improving Word Embedding Using Variational Dropout
by: Zainab Albujasim, et al.
Published: (2023-05-01) -
THE ENGLISH BLENDING WORDS IN INDONESIAN’S NEWSPAPERS
by: Tien Rafida
Published: (2017-06-01) -
Facebook Reactions as Controversy Proxies: Predictive Models over Italian News
by: Angelo Basile, et al.
Published: (2018-12-01)