AWESSOME: An Unsupervised Sentiment Intensity Scoring Framework Using Neural Word Embeddings.
| Anthology ID: | DBLP:conf/ecir/HtaitA21 |
|---|---|
| Volume: | Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II |
| Year: | 2021 |
| Venue: | European Conference on Advances in Information Retrieval (ECIR) |
| Publisher: | Springer |
| Pages: | 509-513 |
| URL: | https://doi.org/10.1007/978-3-030-72240-1_56 |
| DOI: | https://doi.org/10.1007/978-3-030-72240-1_56 |
| DBLP: | conf/ecir/HtaitA21 |
| BibTeX: |
@inproceedings{htait-2021-awessome,
author = {Amal Htait and
Leif Azzopardi},
editor = {Djoerd Hiemstra and
Marie-Francine Moens and
Josiane Mothe and
Raffaele Perego and
Martin Potthast and
Fabrizio Sebastiani},
title = {{AWESSOME: An Unsupervised Sentiment Intensity Scoring Framework Using Neural Word Embeddings}},
booktitle = {{Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II}},
series = {Lecture Notes in Computer Science},
volume = {12657},
pages = {509--513},
publisher = {Springer},
year = {2021},
url = {https://doi.org/10.1007/978-3-030-72240-1_56},
doi = {https://doi.org/10.1007/978-3-030-72240-1_56}
}