{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T22:25:30Z","timestamp":1771799130889,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,2,11]],"date-time":"2022-02-11T00:00:00Z","timestamp":1644537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000185","name":"Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,2,11]]},"DOI":"10.1145\/3488560.3498518","type":"proceedings-article","created":{"date-parts":[[2022,2,15]],"date-time":"2022-02-15T21:42:57Z","timestamp":1644961377000},"page":"372-380","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Keyword Assisted Embedded Topic Model"],"prefix":"10.1145","author":[{"given":"Bahareh","family":"Harandizadeh","sequence":"first","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"J. Hunter","family":"Priniski","sequence":"additional","affiliation":[{"name":"University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fred","family":"Morstatter","sequence":"additional","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,2,15]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1403"},{"key":"e_1_3_2_2_2_1","volume-title":"Proceedings of the 20th International Conference on Neural Information Processing Systems","author":"David","unstructured":"David M. Blei and Jon D. McAuliffe. 2007. Supervised Topic Models. In Proceedings of the 20th International Conference on Neural Information Processing Systems (Vancouver, British Columbia, Canada) (NIPS'07). Curran Associates Inc., Red Hook, NY, USA, 121--128."},{"key":"e_1_3_2_2_3_1","volume-title":"Latent dirichlet allocation. the Journal of machine Learning research 3","author":"Ng Y","year":"2003","unstructured":"DavidMBlei, AndrewY Ng, and Michael I Jordan. 2003. Latent dirichlet allocation. the Journal of machine Learning research 3 (2003), 993--1022."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Jordan L Boyd-Graber Yuening Hu David Mimno et al. 2017. Applications of topic models. Vol. 11. now Publishers Incorporated.","DOI":"10.1561\/9781680833096"},{"key":"e_1_3_2_2_5_1","volume-title":"Culotta (Eds.)","volume":"22","author":"Chang Jonathan","year":"2009","unstructured":"Jonathan Chang, Sean Gerrish, Chong Wang, Jordan Boyd-graber, and David Blei. 2009. Reading Tea Leaves: How Humans Interpret Topic Models. In Advances in Neural Information Processing Systems, Y. Bengio, D. Schuurmans, J. Lafferty, C. Williams, and A. Culotta (Eds.), Vol. 22. Curran Associates, Inc. https:\/\/proceedings.neurips.cc\/paper\/2009\/file\/ f92586a25bb3145facd64ab20fd554ff-Paper.pdf"},{"key":"e_1_3_2_2_6_1","volume-title":"IJCAI","volume":"13","author":"Chen Zhiyuan","year":"2013","unstructured":"Zhiyuan Chen, Arjun Mukherjee, Bing Liu, Meichun Hsu, Malu Castellanos, and Riddhiman Ghosh. 2013. Leveraging Multi-Domain Prior Knowledge in Topic Models.. In IJCAI, Vol. 13. Citeseer, 2071--77."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1162\/tacl_a_00325"},{"key":"e_1_3_2_2_8_1","volume-title":"Keyword assisted topic models. arXiv preprint arXiv:2004.05964","author":"Eshima Shusei","year":"2020","unstructured":"Shusei Eshima, Kosuke Imai, and Tomoya Sasaki. 2020. Keyword assisted topic models. arXiv preprint arXiv:2004.05964 (2020)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2019.1630148"},{"key":"e_1_3_2_2_10_1","volume-title":"Weaklysupervised aspect-based sentiment analysis via joint aspect-sentiment topic embedding. arXiv preprint arXiv:2010.06705","author":"Huang Jiaxin","year":"2020","unstructured":"Jiaxin Huang, Yu Meng, Fang Guo, Heng Ji, and Jiawei Han. 2020. Weaklysupervised aspect-based sentiment analysis via joint aspect-sentiment topic embedding. arXiv preprint arXiv:2010.06705 (2020)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.5555\/2380816.2380844"},{"key":"e_1_3_2_2_12_1","unstructured":"Simon Lacoste-Julien Fei Sha and Michael I Jordan. 2008. DiscLDA: Discriminative learning for dimensionality reduction and classification. In Advances in neural information processing systems. 897--904."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/E14-1056"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380278"},{"key":"e_1_3_2_2_15_1","volume-title":"1st International Conference on Learning Representations, ICLR","author":"Mikolov Tom\u00e1s","year":"2013","unstructured":"Tom\u00e1s Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. In 1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2--4, 2013, Workshop Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1301.3781"},{"key":"e_1_3_2_2_16_1","volume-title":"Proceedings of the 26th International Conference on Neural Information Processing Systems -","volume":"2","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Distributed Representations ofWords and Phrases and Their Compositionality. In Proceedings of the 26th International Conference on Neural Information Processing Systems - Volume 2 (Lake Tahoe, Nevada) (NIPS'13). Curran Associates Inc., Red Hook, NY, USA, 3111--3119."},{"key":"e_1_3_2_2_17_1","volume-title":"Distributed representations of words and phrases and their compositionality. arXiv preprint arXiv:1310.4546","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Distributed representations of words and phrases and their compositionality. arXiv preprint arXiv:1310.4546 (2013)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_2_19_1","volume-title":"Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics","author":"Ramage Daniel","unstructured":"Daniel Ramage, David Hall, Ramesh Nallapati, and Christopher D. Manning. 2009. Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Singapore, 248-- 256. https:\/\/www.aclweb.org\/anthology\/D09--1026"},{"key":"e_1_3_2_2_20_1","first-page":"49","article-title":"Words alone: Dismantling topic models in the humanities","volume":"2","author":"Schmidt Benjamin M","year":"2012","unstructured":"Benjamin M Schmidt. 2012. Words alone: Dismantling topic models in the humanities. Journal of Digital Humanities 2, 1 (2012), 49--65.","journal-title":"Journal of Digital Humanities"},{"key":"e_1_3_2_2_21_1","volume-title":"Autoencoding Variational Inference for Topic Models. In 5th International Conference on Learning Representations.","author":"Srivastava Akash","year":"2017","unstructured":"Akash Srivastava and Charles Sutton. 2017. Autoencoding Variational Inference for Topic Models. In 5th International Conference on Learning Representations."}],"event":{"name":"WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining","location":"Virtual Event AZ USA","acronym":"WSDM '22","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488560.3498518","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3488560.3498518","content-type":"text\/html","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3488560.3498518","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3488560.3498518","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:20Z","timestamp":1750188680000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488560.3498518"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,11]]},"references-count":21,"alternative-id":["10.1145\/3488560.3498518","10.1145\/3488560"],"URL":"https:\/\/doi.org\/10.1145\/3488560.3498518","relation":{},"subject":[],"published":{"date-parts":[[2022,2,11]]},"assertion":[{"value":"2022-02-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}