A Survey of Models for Constructing Text Features to Classify Texts in Natural Language
In this survey we systematize the state-of-the-art features that are used to model texts for text classification tasks: topical and sentiment classification, authorship attribution, style detection, etc. We classify text models into three categories: standard models that use popular features, lingui...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2021-05-01
|
| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://www.fruct.org/publications/fruct29/files/Lag.pdf |