{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,24]],"date-time":"2026-06-24T15:03:15Z","timestamp":1782313395209,"version":"3.54.5"},"reference-count":6,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12]]},"DOI":"10.1109\/bigdata.2018.8622157","type":"proceedings-article","created":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T22:07:18Z","timestamp":1548367638000},"page":"3317-3320","source":"Crossref","is-referenced-by-count":71,"title":["Empirical Study of Deep Learning for Text Classification in Legal Document Review"],"prefix":"10.1109","author":[{"given":"Fusheng","family":"Wei","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Han","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shi","family":"Ye","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haozhen","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1613\/jair.4992"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8258076"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2018.8622073"},{"key":"ref5","article-title":"Introduction | ML Universal Guides | Google Developers","year":"2018"},{"key":"ref2","article-title":"Empirical Evaluations of Preprocessing Parameters&#x2019; Impact on Predictive Coding&#x2019;s Effectiveness","author":"chhatwal","year":"0","journal-title":"Proceedings of 2016 IEEE International Big Data Conference"},{"key":"ref1","article-title":"Where the Money Goes: Understanding Litigant Expenditures for Producing Electronic Discovery","author":"pace","year":"2012","journal-title":"RAND at 17"}],"event":{"name":"2018 IEEE International Conference on Big Data (Big Data)","location":"Seattle, WA, USA","start":{"date-parts":[[2018,12,10]]},"end":{"date-parts":[[2018,12,13]]}},"container-title":["2018 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8610059\/8621858\/08622157.pdf?arnumber=8622157","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T17:49:57Z","timestamp":1643219397000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8622157\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12]]},"references-count":6,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2018.8622157","relation":{},"subject":[],"published":{"date-parts":[[2018,12]]}}}