Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search-Reference-Cited by-同舟云学术

Using Sentiment Analysis for Pseudo-Relevance Feedback in Social Book Search

Published:2020-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval
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Author:

Htait Amal¹,Fournier Sébastien²,Bellot Patrice²,Azzopardi Leif¹,Pasi Gabriella³

Affiliation:

1. University of Strathclyde, Glasgow, Scotland, United Kingdom

2. Aix-Marseille University, Marseilles, France

3. University of Milan Bicocca, Milan, Italy

Funder

EquipEx DILOH

UKRI's EPSRC

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3409256.3409847

Reference19 articles.

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2. Javed A. Aslam and Mark Montague. 2001. Models for metasearch. In SIGIR. 276--284. Javed A. Aslam and Mark Montague. 2001. Models for metasearch. In SIGIR. 276--284.

3. Ismail Badache Sébastien Fournier and Adrian-Gabriel Chifu. 2018. Predicting Contradiction Intensity: Low Strong or Very Strong?. In SIGIR. 1125--1128. Ismail Badache Sébastien Fournier and Adrian-Gabriel Chifu. 2018. Predicting Contradiction Intensity: Low Strong or Very Strong?. In SIGIR. 1125--1128.

4. Jing Bai Dawei Song Peter Bruza Jian-Yun Nie and Guihong Cao. 2005. Query expansion using term relationships in language models for information retrieval. In CIKM. 688--695. Jing Bai Dawei Song Peter Bruza Jian-Yun Nie and Guihong Cao. 2005. Query expansion using term relationships in language models for information retrieval. In CIKM. 688--695.

5. John Blitzer Mark Dredze and Fernando Pereira. 2007. Biographies bollywood boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL. 440--447. John Blitzer Mark Dredze and Fernando Pereira. 2007. Biographies bollywood boom-boxes and blenders: Domain adaptation for sentiment classification. In ACL. 440--447.

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