{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:18Z","timestamp":1750220838222,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,6,22]],"date-time":"2019-06-22T00:00:00Z","timestamp":1561161600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,6,22]]},"DOI":"10.1145\/3341069.3342989","type":"proceedings-article","created":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T19:51:28Z","timestamp":1565985088000},"page":"157-161","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Off-topic Detection Model based on Biterm-LDA and Doc2vec"],"prefix":"10.1145","author":[{"given":"Pan","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Information Engineering, Capital Normal University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Research Center for Language Intelligence, Capital Normal University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoli","family":"Ma","sequence":"additional","affiliation":[{"name":"Department of Information Engineering, Capital Normal University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianshe","family":"Zhou","sequence":"additional","affiliation":[{"name":"Research Center for Language Intelligence, Capital Normal University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,6,22]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"How to do the divorce problem of primary school students' writings{J}.Primary School Teaching Reference","author":"Shu Yiping","year":"2012","unstructured":"Yiping Shu . How to do the divorce problem of primary school students' writings{J}.Primary School Teaching Reference , 2012 (01):80. Yiping Shu. How to do the divorce problem of primary school students' writings{J}.Primary School Teaching Reference, 2012(01):80."},{"key":"e_1_3_2_1_2_1","first-page":"2","volume":"25","author":"Foltz P W","year":"1998","unstructured":"Foltz P W , Kintsch W, Landauer T K. The measurement of textual coherence with latent semantic analysis{J}. Discourse Processes , 1998 , 25 ( 2 -- 3 ):285--307. Foltz P W, Kintsch W, Landauer T K. The measurement of textual coherence with latent semantic analysis{J}. Discourse Processes, 1998, 25(2--3):285--307.","journal-title":"Discourse Processes"},{"key":"e_1_3_2_1_3_1","volume-title":"University of Science and Technology of China","author":"Li Xiaoya","year":"2016","unstructured":"Xiaoya Li . Research and Design of Chinese College Students' English Composition Separation Detection System{D} . University of Science and Technology of China , 2016 . Xiaoya Li.Research and Design of Chinese College Students' English Composition Separation Detection System{D}. University of Science and Technology of China, 2016."},{"key":"e_1_3_2_1_4_1","volume-title":"Harbin Institute of Technology","author":"Gong Jiewei","year":"2016","unstructured":"Jiewei Gong . Design and implementation of rhetorical recognition system for automatic review of Chinese composition {D} . Harbin Institute of Technology , 2016 . Jiewei Gong.Design and implementation of rhetorical recognition system for automatic review of Chinese composition {D}. Harbin Institute of Technology, 2016."},{"key":"e_1_3_2_1_5_1","volume-title":"Research on fast Gibbs sampling topic inference algorithm for topic model {D}","author":"Zhou Xiaotang","year":"2018","unstructured":"Xiaotang Zhou . Research on fast Gibbs sampling topic inference algorithm for topic model {D} . Jilin University , 2018 . Xiaotang Zhou. Research on fast Gibbs sampling topic inference algorithm for topic model {D}. Jilin University, 2018."},{"issue":"03","key":"e_1_3_2_1_6_1","first-page":"77","volume":"19","author":"Ai Chuhan","year":"2019","unstructured":"Chuhan Ai , Xin Xiong , Jiande Wu . Application Research of Patent Text Analysis Based on LDA Topic Model{J}. Science and Technology and Industry , 2019 , 19 ( 03 ): 77 -- 82 . Chuhan Ai, Xin Xiong, Jiande Wu.Application Research of Patent Text Analysis Based on LDA Topic Model{J}.Science and Technology and Industry, 2019, 19(03):77--82.","journal-title":"Science and Technology and Industry"},{"issue":"12","key":"e_1_3_2_1_7_1","first-page":"2979","volume":"49","author":"Xiao Qiaoxiang","year":"2018","unstructured":"Qiaoxiang Xiao , Buqing Cao , Xiangping Zhang , Jianxun Liu , Wei Li.A Web Service Clustering Method Based on Word2 Vec and LDA Topic Model{J}. Journal of Central South University:Science and Technology , 2018 , 49 ( 12 ): 2979 -- 2985 . Qiaoxiang Xiao, Buqing Cao, Xiangping Zhang, Jianxun Liu, Wei Li.A Web Service Clustering Method Based on Word2Vec and LDA Topic Model{J}.Journal of Central South University:Science and Technology, 2018, 49(12):2979--2985.","journal-title":"Journal of Central South University:Science and Technology"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/WCRE.2008.33"},{"issue":"8","key":"e_1_3_2_1_9_1","first-page":"85","volume":"36","author":"Tang Xiaobo","year":"2013","unstructured":"Xiaobo Tang , Xiaoke Fang . Research on Microblog Subject Retrieval Model Based on Text Clustering and LDA Fusion{J}. Information Theory & Practice , 2013 , 36 ( 8 ): 85 -- 90 . Xiaobo Tang, Xiaoke Fang. Research on Microblog Subject Retrieval Model Based on Text Clustering and LDA Fusion{J}. Information Theory & Practice, 2013, 36(8): 85--90.","journal-title":"Information Theory & Practice"},{"issue":"3","key":"e_1_3_2_1_10_1","volume":"14","author":"Chen Y.","year":"2017","unstructured":"Liu, D, and Y. Chen . \"Biterm-LDA: A Recommendation Model for Latent Friends on Tweet {J}.\" Journal of Residuals Science & Technology 14 . 3 ( 2017 ). Liu, D, and Y. Chen. \"Biterm-LDA: A Recommendation Model for Latent Friends on Tweet {J}.\" Journal of Residuals Science & Technology 14.3 (2017).","journal-title":"\"Biterm-LDA: A Recommendation Model for Latent Friends on Tweet {J}.\" Journal of Residuals Science & Technology"},{"issue":"6","key":"e_1_3_2_1_11_1","volume":"30","author":"Wang Yaohua","year":"2016","unstructured":"Yaohua Wang , Zhoujun Li , Yueying He , Research on Key Techniques of Automatic Composition Scoring Based on Text Semantic Dispersion{J}. Chinese Journal of Information Science , 2016 , 30 ( 6 ). Yaohua Wang, Zhoujun Li, Yueying He, et al. Research on Key Techniques of Automatic Composition Scoring Based on Text Semantic Dispersion{J}. Chinese Journal of Information Science, 2016, 30(6).","journal-title":"Chinese Journal of Information Science"},{"issue":"1","key":"e_1_3_2_1_12_1","first-page":"23","volume":"31","author":"Chen Zhipeng","year":"2017","unstructured":"Zhipeng Chen , Wenliang Chen . Detection of essays based on document divergence{J} Journal of Chinese Information Processing , 2017 , 31 ( 1 ): 23 -- 30 . Zhipeng Chen, Wenliang Chen. Detection of essays based on document divergence{J}Journal of Chinese Information Processing, 2017, 31(1):23--30.","journal-title":"Journal of Chinese Information Processing"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiology.143.1.7063747"}],"event":{"name":"HPCCT 2019: 2019 The 3rd High Performance Computing and Cluster Technologies Conference","acronym":"HPCCT 2019","location":"Guangzhou China"},"container-title":["Proceedings of the 2019 3rd High Performance Computing and Cluster Technologies Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341069.3342989","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3341069.3342989","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:13:43Z","timestamp":1750202023000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3341069.3342989"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6,22]]},"references-count":13,"alternative-id":["10.1145\/3341069.3342989","10.1145\/3341069"],"URL":"https:\/\/doi.org\/10.1145\/3341069.3342989","relation":{},"subject":[],"published":{"date-parts":[[2019,6,22]]},"assertion":[{"value":"2019-06-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}