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} }