{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,12]],"date-time":"2024-07-12T16:27:19Z","timestamp":1720801639033},"reference-count":37,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2018,3,1]],"date-time":"2018-03-01T00:00:00Z","timestamp":1519862400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Online Social Networks and Media"],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1016\/j.osnem.2017.10.004","type":"journal-article","created":{"date-parts":[[2017,11,27]],"date-time":"2017-11-27T14:31:42Z","timestamp":1511793102000},"page":"23-36","source":"Crossref","is-referenced-by-count":11,"special_numbering":"C","title":["Hybrid semantic clustering of hashtags"],"prefix":"10.1016","volume":"5","author":[{"given":"Ali","family":"Javed","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-6019-5247","authenticated-orcid":false,"given":"Byung Suk","family":"Lee","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.osnem.2017.10.004_bib0001","unstructured":"Merriam Webster, Simple defintion of hashtag. [cited 2016-05-01]. URL http:\/\/www.merriam-webster.com\/dictionary\/hashtag."},{"key":"10.1016\/j.osnem.2017.10.004_bib0002","unstructured":"#originstory. [cited 2016-05-13]. URL http:\/\/www.cmu.edu\/homepage\/computing\/2014\/summer\/originstory.shtml."},{"key":"10.1016\/j.osnem.2017.10.004_bib0003","series-title":"The Top Ten Algorithms in Data Mining","author":"Wu","year":"2009"},{"key":"10.1016\/j.osnem.2017.10.004_bib0004","series-title":"Proceedings of the ECML-PKDD Discovery Challenge Workshop","first-page":"28","article-title":"Text classification using clustering","author":"Kyriakopoulou","year":"2006"},{"key":"10.1016\/j.osnem.2017.10.004_bib0005","series-title":"Proceedings of the 21st European Conference on Artificial Intelligence","first-page":"1119","article-title":"Unsupervised semantic clustering of Twitter hashtags","author":"Vicient","year":"2014"},{"key":"10.1016\/j.osnem.2017.10.004_bib0006","unstructured":"Usage statistics. [cited 2016-05-20]. URL http:\/\/www.internetlivestats.com\/twitter-statistics\/."},{"key":"10.1016\/j.osnem.2017.10.004_bib0007","doi-asserted-by":"crossref","first-page":"231","DOI":"10.1007\/978-3-642-34228-8_22","article-title":"Exploring the meaning behind Twitter hashtags through clustering","volume":"127","author":"Muntean","year":"2012","journal-title":"Lect. Notes Bus. Inf. Process."},{"key":"10.1016\/j.osnem.2017.10.004_bib0008","series-title":"Proceedings of the 25th International Conference on Computational Linguistics","first-page":"58","article-title":"Identification of implicit topics in Twitter data not containing explicit search queries","author":"Park","year":"2014"},{"key":"10.1016\/j.osnem.2017.10.004_bib0009","series-title":"Proceedings of the 20th ACM Conference on Information and Knowledge Management","first-page":"1031","article-title":"Topic sentiment analysis in Twitter: a graph-based hashtag sentiment classification approach","author":"Wang","year":"2011"},{"key":"10.1016\/j.osnem.2017.10.004_bib0010","series-title":"Proceedings of the 1st International Conference on Data Analytics","first-page":"43","article-title":"Trend visualization on Twitter: what\u2019s hot and what\u2019s not?","author":"Bhulai","year":"2012"},{"key":"10.1016\/j.osnem.2017.10.004_bib0011","series-title":"Proceedings of the 3rd IFIP WG 8.5 International Conference on Electronic Participation","first-page":"48","article-title":"Extracting semantic knowledge from Twitter","author":"Teufl","year":"2011"},{"key":"10.1016\/j.osnem.2017.10.004_bib0012","series-title":"Proceedings of the 3rd Annual International Symposium on Information Management and Big Data","first-page":"140","article-title":"Sense-level semantic clustering of hashtags in social media","author":"Javed","year":"2016"},{"key":"10.1016\/j.osnem.2017.10.004_bib0013","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/978-3-319-55209-5_1","article-title":"Sense-level semantic clustering of hashtags","volume":"656","author":"Javed","year":"2017","journal-title":"Communications in Computer and Information Science"},{"key":"10.1016\/j.osnem.2017.10.004_bib0014","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1007\/978-3-642-37213-1_24","article-title":"Defining semantic meta-hashtags for Twitter classification","volume":"7824","author":"Costa","year":"2013","journal-title":"Lect. Notes Comput. Sci."},{"key":"10.1016\/j.osnem.2017.10.004_bib0015","series-title":"Proceedings of the 21st International Conference on World Wide Web","first-page":"621","article-title":"Scalable multi stage clustering of tagged micro-messages","author":"Tsur","year":"2012"},{"key":"10.1016\/j.osnem.2017.10.004_bib0016","series-title":"Proceedings of the 7th International AAAI Conference on Weblogs and Social Media","first-page":"621","article-title":"Efficient clustering of short messages into general domains","author":"Tsur","year":"2013"},{"key":"10.1016\/j.osnem.2017.10.004_bib0017","series-title":"Proceedings of the 3rd Workshop on Social Web Search and Mining","first-page":"133","article-title":"Topical clustering of tweets","author":"Rosa","year":"2011"},{"key":"10.1016\/j.osnem.2017.10.004_bib0018","series-title":"Proceedings of the 11th International Conference on The Semantic Web - Volume Part I","first-page":"508","article-title":"Semantic sentiment analysis of Twitter","author":"Saif","year":"2012"},{"key":"10.1016\/j.osnem.2017.10.004_bib0019","series-title":"Introduction to Information Retrieval","author":"Manning","year":"2008"},{"issue":"2","key":"10.1016\/j.osnem.2017.10.004_bib0020","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1142\/S0218213015500347","article-title":"An efficient hybrid clustering method using an artificial bee colony algorithm and mantegna l\u00e9vy distribution","volume":"25","author":"Ghafarzadeh","year":"2016","journal-title":"Int. J. Artif. Intell. Tools"},{"key":"10.1016\/j.osnem.2017.10.004_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2015.09.045","article-title":"A novel hybrid clustering approach based on k-harmonic means using robust design","volume":"173","author":"Yeh","year":"2016","journal-title":"Neurocomputing"},{"issue":"1","key":"10.1016\/j.osnem.2017.10.004_bib0022","doi-asserted-by":"crossref","DOI":"10.5626\/JCSE.2016.10.1.1","article-title":"An improved hybrid canopy-fuzzy c-means clustering algorithm based on MapReduce model","volume":"10","author":"Dai","year":"2016","journal-title":"J. Comput. Sci. Eng."},{"issue":"5","key":"10.1016\/j.osnem.2017.10.004_bib0023","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1109\/TNNLS.2015.2430821","article-title":"Hybrid sampling-based clustering ensemble with global and local constitutions","volume":"27","author":"Yang","year":"2016","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"10.1016\/j.osnem.2017.10.004_bib0024","unstructured":"Princeton University, WordNet: a lexical database for English. [cited 2016-05-08]. URL http:\/\/wordnet.princeton.edu."},{"key":"10.1016\/j.osnem.2017.10.004_bib0025","series-title":"Proceedings of the 32nd Annual Meeting on Association for Computational Linguistics","first-page":"133","article-title":"Verbs semantics and lexical selection","author":"Wu","year":"1994"},{"key":"10.1016\/j.osnem.2017.10.004_bib0026","unstructured":"Wikipedia, Help:Category. [cited 2016-05-01]. URL https:\/\/en.wikipedia.org\/wiki\/Help:Category."},{"key":"10.1016\/j.osnem.2017.10.004_bib0027","series-title":"Proceedings of the IEEE 31st International Conference on Data Engineering","first-page":"1561","article-title":"STREAMCUBE: hierarchical spatio-temporal hashtag clustering for event exploration over the twitter stream","author":"Feng","year":"2015"},{"key":"10.1016\/j.osnem.2017.10.004_bib0028","series-title":"Efficient Clustering of Very Large Document Collections","author":"Dhillon","year":"2001"},{"key":"10.1016\/j.osnem.2017.10.004_bib0029","series-title":"Proceedings of the 19th International Conference on Knowledge Engineering and Knowledge Management","first-page":"563","article-title":"Temporal semantics: time-varying hashtag sense clustering","author":"Stilo","year":"2014"},{"issue":"1","key":"10.1016\/j.osnem.2017.10.004_bib0030","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1162\/COLI_a_00277","article-title":"Hashtag sense clustering based on temporal similarity","volume":"43","author":"Stilo","year":"2017","journal-title":"Comput. Linguist."},{"key":"10.1016\/j.osnem.2017.10.004_bib0031","series-title":"Introduction to Information Retrieval","author":"Manning","year":"2008"},{"key":"10.1016\/j.osnem.2017.10.004_bib0032","unstructured":"Flat cluster. [cited 2016-05-20]. URL http:\/\/docs.scipy.org\/doc\/scipy-0.14.0\/reference\/generated\/scipy.cluster.hierarchy.fcluster.html."},{"key":"10.1016\/j.osnem.2017.10.004_bib0033","unstructured":"Scipy. [cited 8-02-17]. URL https:\/\/docs.scipy.org\/doc\/scipy-0.18.1\/reference\/generated\/scipy.cluster.hierarchy.linkage.html#scipy.cluster.hierarchy.linkage."},{"key":"10.1016\/j.osnem.2017.10.004_bib0034","unstructured":"Symplur. [cited 2016-05-12]. URL http:\/\/www.symplur.com."},{"key":"10.1016\/j.osnem.2017.10.004_bib0035","first-page":"553","article-title":"A review on consensus clustering methods","author":"Xanthopoulos","year":"2014"},{"issue":"19","key":"10.1016\/j.osnem.2017.10.004_bib0036","doi-asserted-by":"crossref","first-page":"6767","DOI":"10.1016\/j.eswa.2015.04.069","article-title":"A robust unsupervised consensus control chart pattern recognition framework","volume":"42","author":"Haghtalab","year":"2015","journal-title":"Expert Syst. Appl."},{"key":"10.1016\/j.osnem.2017.10.004_bib0037","unstructured":"The healthcare hashtag project. [cited 2016-05-12]. URL http:\/\/www.symplur.com\/healthcare-hashtags\/."}],"container-title":["Online Social Networks and Media"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2468696417300174?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2468696417300174?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,7,22]],"date-time":"2019-07-22T15:57:32Z","timestamp":1563811052000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2468696417300174"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3]]},"references-count":37,"alternative-id":["S2468696417300174"],"URL":"https:\/\/doi.org\/10.1016\/j.osnem.2017.10.004","relation":{},"ISSN":["2468-6964"],"issn-type":[{"value":"2468-6964","type":"print"}],"subject":[],"published":{"date-parts":[[2018,3]]}}}
