Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search.
Amal Htait|Sébastien Fournier|Patrice Bellot|Leif Azzopardi|Gabriella Pasi
| Anthology ID: | DBLP:conf/ictir/HtaitFBAP20 |
|---|---|
| Volume: | ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020 |
| Year: | 2020 |
| Venue: | International Conference on the Theory of Information Retrieval (ICTIR) |
| Publisher: | ACM |
| Pages: | 29-32 |
| URL: | https://doi.org/10.1145/3409256.3409847 |
| DOI: | https://doi.org/10.1145/3409256.3409847 |
| DBLP: | conf/ictir/HtaitFBAP20 |
| BibTeX: |
@inproceedings{htait-2020-using,
author = {Amal Htait and
S\'{e}bastien Fournier and
Patrice Bellot and
Leif Azzopardi and
Gabriella Pasi},
editor = {Krisztian Balog and
Vinay Setty and
Christina Lioma and
Yiqun Liu and
Min Zhang and
Klaus Berberich},
title = {{Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search}},
booktitle = {{ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Norway, September 14-17, 2020}},
pages = {29--32},
publisher = {ACM},
year = {2020},
url = {https://doi.org/10.1145/3409256.3409847},
doi = {https://doi.org/10.1145/3409256.3409847}
}