{"type":"ScholarlyArticle","title":"Readitopics: Make Your Topic Models Readable via Labeling and Browsing","authors":[{"name":"Julien Velcin","slug":"julien-velcin","given":"Julien","family":"Velcin","affiliation":"Université de Lyon (ERIC , Lyon"},{"name":"Antoine Gourru","slug":"antoine-gourru","given":"Antoine","family":"Gourru","affiliation":"Université de Lyon (ERIC , Lyon"},{"name":"Erwan Giry-Fouquet","slug":"erwan-giry-fouquet","given":"Erwan","family":"Giry-Fouquet","affiliation":"Université de Lyon (ERIC , Lyon"},{"name":"Christophe Gravier","slug":"christophe-gravier","given":"Christophe","family":"Gravier","affiliation":"); Université de Lyon (LHC , St-Etienne )"},{"name":"Mathieu Roche","slug":"mathieu-roche","given":"Mathieu","family":"Roche","affiliation":"Cirad (TETIS , Montpellier )"},{"name":"Pascal Poncelet","slug":"pascal-poncelet","given":"Pascal","family":"Poncelet","affiliation":"Université de Montpellier (LIRMM)"}],"abstract":"Readitopics provides a new tool for browsing a textual corpus that showcases several recent work on topic labeling and topic coherence. We demonstrate the potential of these techniques to get a deeper understanding of the topics that structure different datasets. This tool is provided as a Web demo but it can be installed to experiment with your own dataset. It can be further extended to deal with more advanced topic modeling techniques.","doi":"10.24963/ijcai.2018/867","url":"https://ijcai.org/proceedings/2018/867","pdf":"https://ijcai.org/proceedings/2018/0867.pdf","markdown":"https://ijcai.org/proceedings/2018/867.md","bibtex":"https://ijcai.org/proceedings/2018/bibtex/867","volume":{"slug":"2018","title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2018","url":"https://ijcai.org/proceedings/2018/","year":2018,"location":"Stockholm","dates":"13-19 July 2018","editors":"Jérôme Lang","isbn":"978-0-9992411-2-7","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2018"},"section":"Demos","track":"Demos","number":867,"pages":{"first":5874,"last":5876},"keywords":["Natural Language Processing: Sentiment Analysis and Text Mining","Natural Language Processing: NLP Applications and Tools"],"videos":[],"references":[{"position":1,"raw":"[Aletras et al., 2017] Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, and Mark Stevenson. Evaluating topic repre- sentations for exploring document collections. Journal of the Association for Information Science and Technology, 68(1):154-167, 2017.","title":"Evaluating topic representations for exploring document collections","authors":"Nikolaos Aletras, Timothy Baldwin, Jey Han Lau, Mark Stevenson","year":"2017","venue":"Journal of the Association for Information Science and Technology","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[AlSumait et al., 2009] Loulwah AlSumait, Daniel Barbará, James Gentle, and Carlotta Domeniconi. Topic signifi- cance ranking of LDA generative models. In Joint Eu- ropean Conference on Machine Learning and Knowledge Discovery in Databases, pages 67-82. Springer, 2009.","title":"Topic significance ranking of LDA generative models","authors":"Alsumait","year":"2009","venue":"Joint European Conference on Machine Learning and Knowledge Discovery in Databases","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Bhatia et al., 2016] Shraey Bhatia, Jey Han Lau, and Tim- othy Baldwin. Automatic labelling of topics with neural embeddings. In Proceedings of COLING, 2016.","title":"Automatic labelling of topics with neural embeddings","authors":"Bhatia","year":"2016","venue":"Proceedings of COLING","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Blei et al., 2003] David M Blei, Andrew Y Ng, and Michael I Jordan. Latent dirichlet allocation. Journal of Machine Learning Research (JMLR), 3:993-1022, 2003.","title":"Latent dirichlet allocation","authors":"Andrew Y David M Blei, Michael I Ng, Jordan","year":"2003","venue":"Journal of Machine Learning Research (JMLR)","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Chaney and Blei, 2012] Allison June-Barlow Chaney and David M Blei. Visualizing topic models. In Proceedings of the International Conference of Weblogs and Social Media (ICWSM), 2012.","title":"Visualizing topic models","authors":"Blei ; Chaney, June-Barlow Allison, David M Chaney, Blei","year":"2012","venue":"Proceedings of the International Conference of Weblogs and Social Media (ICWSM)","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Danilevsky et al., 2014] Marina Danilevsky, Chi Wang, Ni- hit Desai, Xiang Ren, Jingyi Guo, and Jiawei Han. Au- tomatic construction and ranking of topical keyphrases on collections of short documents. In Proceedings of the 2014 SIAM International Conference on Data Mining, pages 398-406. SIAM, 2014.","title":"Automatic construction and ranking of topical keyphrases on collections of short documents","authors":"Marina Danilevsky, Chi Wang, Nihit Desai, Xiang Ren, Jingyi Guo, Jiawei Han","year":"2014","venue":"Proceedings of the 2014 SIAM International Conference on Data Mining","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[El-Assady et al., 2017] Mennatallah El-Assady, Rita Sev- astjanova, Fabian Sperrle, Daniel Keim, and Christopher Collins. Progressive learning of topic modeling parame- ters: A visual analytics framework. IEEE Trans. on Visu- alization and Computer Graphics, 2017.","title":"Progressive learning of topic modeling parameters: A visual analytics framework","authors":"El-Assady","year":"2017","venue":"IEEE Trans. on Visualization and Computer Graphics","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Gourru et al., 2018] Antoine Gourru, Julien Velcin, Math- ieu Roche, Christophe Gravier, and Pascal Poncelet. United we stand: Using multiple strategies for topic la- beling. In Proceedings of the 23rd Conference on Natu- ral Language & Information Systems (NLDB), pages 352- 363, Paris, France, 2018.","title":"United we stand: Using multiple strategies for topic labeling","authors":"Antoine Gourru, Julien Velcin, Mathieu Roche, Christophe Gravier, Pascal Poncelet","year":"2018","venue":"Proceedings of the 23rd Conference on Natural Language & Information Systems (NLDB)","doi":null,"url":null,"internal_url":null},{"position":9,"raw":"[Kim et al., 2017] Minjeong Kim, Kyeongpil Kang, Deok- gun Park, Jaegul Choo, and Niklas Elmqvist. Topiclens: Efficient multi-level visual topic exploration of large-scale document collections. IEEE Transactions on Visualization and Computer Graphics, 23(1):151-160, 2017.","title":"Topiclens: Efficient multi-level visual topic exploration of large-scale document collections","authors":"Kim","year":"2017","venue":"IEEE Transactions on Visualization and Computer Graphics","doi":null,"url":null,"internal_url":null},{"position":10,"raw":"[Kou et al., 2015] Wanqiu Kou, Fang Li, and Timothy Bald- win. Automatic labelling of topic models using word vec- tors and letter trigram vectors. In Asia Information Re- trieval Symposium, pages 253-264. Springer, 2015.","title":"Automatic labelling of topic models using word vectors and letter trigram vectors","authors":"Kou","year":"2015","venue":"Asia Information Retrieval Symposium","doi":null,"url":null,"internal_url":null},{"position":11,"raw":"[Lau et al., 2011] Jey Han Lau, Karl Grieser, David New- man, and Timothy Baldwin. Automatic labelling of topic models. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Lan- guage Technologies (ACL-HLT) -Volume 1, pages 1536- 1545. Association for Computational Linguistics, 2011.","title":"Automatic labelling of topic models","authors":"Han Jey, Karl Lau, David Grieser, Timothy Newman, Baldwin","year":"2011","venue":"Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (ACL-HLT)","doi":null,"url":null,"internal_url":null},{"position":12,"raw":"[Liu et al., 2012] Shixia Liu, Michelle X Zhou, Shimei Pan, Yangqiu Song, Weihong Qian, Weijia Cai, and Xiaoxiao Lian. Tiara: Interactive, topic-based visual text summa- rization and analysis. ACM Transactions on Intelligent Systems and Technology (TIST), 3(2):25, 2012.","title":"Tiara: Interactive, topic-based visual text summarization and analysis","authors":"Shixia Liu, Michelle X Zhou, Shimei Pan, Yangqiu Song, Weihong Qian, Weijia Cai, Xiaoxiao Lian","year":"2012","venue":"ACM Transactions on Intelligent Systems and Technology (TIST)","doi":null,"url":null,"internal_url":null},{"position":13,"raw":"[Liu et al., 2014] Shixia Liu, Xiting Wang, Jianfei Chen, Jim Zhu, and Baining Guo. Topicpanorama: A full picture of relevant topics. In Visual Analytics Science and Technol- ogy (VAST), 2014 IEEE Conference on, pages 183-192. IEEE, 2014.","title":"Topicpanorama: A full picture of relevant topics","authors":"Liu","year":"2014","venue":"Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on","doi":null,"url":null,"internal_url":null},{"position":14,"raw":"[Lossio-Ventura et al., 2014] Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, and Maguelonne Teis- seire. Biotex: A system for biomedical terminology ex- traction, ranking, and validation. In Proceedings of the 13th ISWC, pages 157-160, 2014.","title":"Juan Antonio Lossio-Ventura, Clement Jonquet, Mathieu Roche, and Maguelonne Teisseire. Biotex: A system for biomedical terminology extraction, ranking, and validation","authors":"Lossio-Ventura","year":"2014","venue":"Proceedings of the 13th ISWC","doi":null,"url":null,"internal_url":null},{"position":15,"raw":"[Mei et al., 2007] Qiaozhu Mei, Xuehua Shen, and ChengX- iang Zhai. Automatic labeling of multinomial topic mod- els. In Proceedings of the 13th ACM SIGKDD interna- tional conference on Knowledge Discovery and Data min- ing, pages 490-499. ACM, 2007.","title":"Shen, and ChengXiang Zhai. Automatic labeling of multinomial topic models","authors":"Mei","year":"2007","venue":"Proceedings of the 13th ACM SIGKDD international conference on Knowledge Discovery and Data mining","doi":null,"url":null,"internal_url":null},{"position":16,"raw":"[Mimno et al., 2011] David Mimno, Hanna M Wallach, Ed- mund Talley, Miriam Leenders, and Andrew McCallum. Optimizing semantic coherence in topic models. In Pro- ceedings of the conference on empirical methods in natu- ral language processing, pages 262-272. Association for Computational Linguistics, 2011.","title":"Optimizing semantic coherence in topic models","authors":"David Mimno, Edmund Hanna M Wallach, Miriam Talley, Andrew Leenders, Mccallum","year":"2011","venue":"Proceedings of the conference on empirical methods in natural language processing","doi":null,"url":null,"internal_url":null},{"position":17,"raw":"[Newman et al., 2010] David Newman, Youn Noh, Edmund Talley, Sarvnaz Karimi, and Timothy Baldwin. Evaluating topic models for digital libraries. In Proceedings of the 10th annual joint conference on Digital libraries, pages 215-224. ACM, 2010.","title":"Evaluating topic models for digital libraries","authors":"David Newman, Youn Noh, Edmund Talley, Sarvnaz Karimi, Timothy Baldwin","year":"2010","venue":"Proceedings of the 10th annual joint conference on Digital libraries","doi":null,"url":null,"internal_url":null},{"position":18,"raw":"[Röder et al., 2015] Michael Röder, Andreas Both, and Alexander Hinneburg. Exploring the space of topic coher- ence measures. In Proceedings of the eighth ACM inter- national conference on Web search and data mining, pages 399-408. ACM, 2015.","title":"Exploring the space of topic coherence measures","authors":"Michael Röder, Andreas Both, Alexander Hinneburg","year":"2015","venue":"Proceedings of the eighth ACM international conference on Web search and data mining","doi":null,"url":null,"internal_url":null},{"position":19,"raw":"[Sievert and Shirley, 2014] Carson Sievert and Kenneth Shirley. Ldavis: A method for visualizing and interpreting topics. In Proceedings of the workshop on interactive language learning, visualization, and interfaces, pages 63-70, 2014.","title":"Ldavis: A method for visualizing and interpreting topics","authors":"Shirley ; Sievert, Carson Sievert, Kenneth Shirley","year":"2014","venue":"Proceedings of the workshop on interactive language learning, visualization, and interfaces","doi":null,"url":null,"internal_url":null},{"position":20,"raw":"[Stevens et al., 2012] Keith Stevens, Philip Kegelmeyer, David Andrzejewski, and David Buttler. Exploring topic coherence over many models and many topics. In Proceed- ings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Nat- ural Language Learning, pages 952-961. Association for Computational Linguistics, 2012.","title":"Exploring topic coherence over many models and many topics","authors":"Keith Stevens, Philip Kegelmeyer, David Andrzejewski, David Buttler","year":"2012","venue":"Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning","doi":null,"url":null,"internal_url":null},{"position":21,"raw":"[Tang et al., 2012] Jie Tang, Sen Wu, Jimeng Sun, and Hang Su. Cross-domain collaboration recommendation. In Pro- ceedings of the 18th ACM SIGKDD international con- ference on Knowledge discovery and data mining, pages 1285-1293, 2012.","title":"Cross-domain collaboration recommendation","authors":"Jie Tang, Sen Wu, Jimeng Sun, Hang Su","year":"2012","venue":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","doi":null,"url":null,"internal_url":null},{"position":22,"raw":"[Waumans et al., 2015] Michaël C Waumans, Thibaut Nicodème, and Hugues Bersini. Topology analysis of social networks extracted from literature. PloS one, 10(6), 2015.","title":"Topology analysis of social networks extracted from literature","authors":"Thibaut Michaël C Waumans, Hugues Nicodème, Bersini","year":"2015","venue":"PloS one","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}