{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T15:27:43Z","timestamp":1750346863272,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,12]]},"DOI":"10.1109\/bigdata.2016.7841060","type":"proceedings-article","created":{"date-parts":[[2017,2,7]],"date-time":"2017-02-07T21:46:59Z","timestamp":1486504019000},"page":"3864-3871","source":"Crossref","is-referenced-by-count":10,"title":["Efficient natural language pre-processing for analyzing large data sets"],"prefix":"10.1109","author":[{"given":"Belainine","family":"Billal","sequence":"first","affiliation":[]},{"given":"Alexsandro","family":"Fonseca","sequence":"additional","affiliation":[]},{"given":"Fatiha","family":"Sadat","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/1835449.1835643"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/2414425.2414430"},{"key":"ref12","first-page":"473","article-title":"Decomposing hashtags to improve tweet polarity classification (d&#x00E9;composition des &#x00AB; hash tags &#x00BB; pour l'am&#x00E9;lioration de la classification en polarit&#x00E9; des &#x00AB; tweets &#x00BB;) [in french]","volume":"2","author":"brun","year":"0"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btt474"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1459352.1459355"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3115\/981732.981751"},{"key":"ref16","first-page":"83","article-title":"Expansion s&#x00E9;mantique des requ&#x00EA;tes pour un mod&#x00E8;le de recherche d'information par proximit&#x00E9;","author":"audeh","year":"2013","journal-title":"INFORSID 2013"},{"article-title":"Language detection library for java","year":"2010","author":"shuyo","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/0169-7439(87)80084-9"},{"journal-title":"Analyse s&#x00E9;mantique latente et segmentation automatique des textes ser Cahiers du Cental","year":"2004","author":"bestgen","key":"ref19"},{"key":"ref4","first-page":"538","article-title":"Twitter sentiment analysis: The good the bad and the omg!","volume":"11","author":"kouloumpis","year":"0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WI-IAT.2010.63"},{"key":"ref6","first-page":"627","author":"liu","year":"2010","journal-title":"Sentiment Analysis and Subjectivity"},{"key":"ref5","first-page":"473","article-title":"Decomposing hashtags to improve tweet polarity classification (d&#x00E9;composition des &#x00AB; hash tags &#x00BB; pour l'am&#x00E9;lioration de la classification en polarit&#x00E9; des &#x00AB; tweets &#x00BB;) [in french]","volume":"2","author":"brun","year":"0"},{"article-title":"Extraction of ontology schema components from financial news","year":"2012","author":"vela","key":"ref8"},{"key":"ref7","first-page":"104","article-title":"Processing and normalizing hashtags","volume":"9","author":"declerck","year":"2015","journal-title":"Proceedings of RANLP 2015"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1871840.1871852"},{"article-title":"Twitter hashtag segmentation","year":"2015","author":"reuter","key":"ref9"},{"key":"ref1","first-page":"508","author":"saif","year":"2012","journal-title":"Semantic Sentiment Analysis of Twitter"},{"key":"ref20","first-page":"1871","article-title":"Liblinear: A library for large linear classification","volume":"9","author":"fan","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/130385.130401"},{"key":"ref21","first-page":"223","article-title":"An analysis of bayesian classifiers","author":"langley","year":"0"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273598"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1961189.1961199"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007465528199"}],"event":{"name":"2016 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2016,12,5]]},"location":"Washington DC,USA","end":{"date-parts":[[2016,12,8]]}},"container-title":["2016 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7818133\/7840573\/07841060.pdf?arnumber=7841060","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,12,13]],"date-time":"2017-12-13T21:04:25Z","timestamp":1513199065000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7841060\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,12]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/bigdata.2016.7841060","relation":{},"subject":[],"published":{"date-parts":[[2016,12]]}}}