Learning Affect with Distributional Semantic Models
The affective content of a text depends on the valence and emotion values of its words. At the same time a word distributional properties deeply influence its affective content. For instance a word may become negatively loaded because it tends to co-occur with other negative expressions. Lexical aff...
Saved in:
| Main Authors: | Lucia C. Passaro, Alessandro Bondielli, Alessandro Lenci |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Accademia University Press
2017-12-01
|
| Series: | IJCoL |
| Online Access: | https://journals.openedition.org/ijcol/550 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Event Knowledge in Compositional Distributional Semantics
by: Ludovica Pannitto, et al.
Published: (2019-06-01) -
Distributional Memory: A General Framework for Corpus-Based Semantics
by: Marco Baroni, et al.
Published: (2021-03-01) -
Panta rei: Tracking Semantic Change with Distributional Semantics in Ancient Greek
by: Martina A. Rodda, et al.
Published: (2017-06-01) -
Determining the Compositionality of Noun-Adjective Pairs with Lexical Variants and Distributional Semantics
by: Marco S. G. Senaldi, et al.
Published: (2017-06-01) -
Finding the Neural Net: Deep-learning Idiom Type Identification from Distributional Vectors
by: Yuri Bizzoni, et al.
Published: (2018-06-01)