Topic Extraction from Online Reviews for Classification and Recommendation
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 1310-1315.
Abstract
Automatically identifying informative reviews is increasingly important given the rapid growth of user generated reviews on sites like Amazon and TripAdvisor. In this paper, we describe and evaluate techniques for identifying and recommending helpful product reviews using a combination of review features, including topical and sentiment information, mined from a review corpus.
Ruihai Dong, Markus Schaal, Michael P. O'Mahony, and Barry Smyth. 2013. Topic Extraction from Online Reviews for Classification and Recommendation. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 1310–1315. https://ijcai.org/proceedings/2013/197
Dong, R., Schaal, M., O'Mahony, M. P., & Smyth, B. (2013). Topic Extraction from Online Reviews for Classification and Recommendation. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 (pp. 1310–1315). IJCAI. https://ijcai.org/proceedings/2013/197
@inproceedings{ijcai2013p197,
title = {Topic Extraction from Online Reviews for Classification and Recommendation},
author = {Dong, Ruihai and Schaal, Markus and O'Mahony, Michael P. and Smyth, Barry},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {1310--1315},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/197},
}
TY - CPAPER TI - Topic Extraction from Online Reviews for Classification and Recommendation AU - Dong, Ruihai AU - Schaal, Markus AU - O'Mahony, Michael P. AU - Smyth, Barry T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 1310 EP - 1315 UR - https://ijcai.org/proceedings/2013/197 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
