{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,5]],"date-time":"2025-11-05T21:14:11Z","timestamp":1762377251392,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":25,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"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":[[2022,11]]},"DOI":"10.1145\/3557992.3565989","type":"proceedings-article","created":{"date-parts":[[2022,10,25]],"date-time":"2022-10-25T22:43:52Z","timestamp":1666737832000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Addressing the\n            <i>location A\/B<\/i>\n            problem on Twitter"],"prefix":"10.1145","author":[{"given":"Rabindra","family":"Lamsal","sequence":"first","affiliation":[{"name":"The University of Melbourne, Melbourne, Australia"}]},{"given":"Aaron","family":"Harwood","sequence":"additional","affiliation":[{"name":"The University of Melbourne, Melbourne, Australia"}]},{"given":"Maria Rodriguez","family":"Read","sequence":"additional","affiliation":[{"name":"The University of Melbourne, Melbourne, Australia"}]}],"member":"320","published-online":{"date-parts":[[2022,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9671.2011.01297.x"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9671.2011.01294.x"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187980.2188181"},{"key":"e_1_3_2_1_4_1","first-page":"8","article-title":"TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment","volume":"7","author":"Imran Muhammad","year":"2022","unstructured":"Muhammad Imran , Umair Qazi , and Ferda Ofli . 2022 . TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment , Entity, Geo, and Gender Labels. Data 7 , 1 (2022), 8 . Muhammad Imran, Umair Qazi, and Ferda Ofli. 2022. TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels. Data 7, 1 (2022), 8.","journal-title":"Entity, Geo, and Gender Labels. Data"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2065023.2065039"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.21227\/fpsb-jz61"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.21227\/781w-ef42"},{"key":"e_1_3_2_1_8_1","volume-title":"Design and analysis of a large-scale COVID-19 tweets dataset. applied intelligence 51, 5","author":"Lamsal Rabindra","year":"2021","unstructured":"Rabindra Lamsal . 2021. Design and analysis of a large-scale COVID-19 tweets dataset. applied intelligence 51, 5 ( 2021 ), 2790--2804. Rabindra Lamsal. 2021. Design and analysis of a large-scale COVID-19 tweets dataset. applied intelligence 51, 5 (2021), 2790--2804."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3524498"},{"key":"e_1_3_2_1_10_1","volume-title":"End-to-end network for twitter geolocation prediction and hashing. arXiv preprint arXiv:1710.04802","author":"Lau Jey Han","year":"2017","unstructured":"Jey Han Lau , Lianhua Chi , Khoi-Nguyen Tran , and Trevor Cohn . 2017. End-to-end network for twitter geolocation prediction and hashing. arXiv preprint arXiv:1710.04802 ( 2017 ). Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, and Trevor Cohn. 2017. End-to-end network for twitter geolocation prediction and hashing. arXiv preprint arXiv:1710.04802 (2017)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609582"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2014.6816708"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2852764"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487788.2488108"},{"key":"e_1_3_2_1_15_1","volume-title":"Proceedings of the International AAAI Conference on Web and Social Media","volume":"6","author":"Mahmud Jalal","year":"2012","unstructured":"Jalal Mahmud , Jeffrey Nichols , and Clemens Drews . 2012 . Where is this tweet from? inferring home locations of twitter users . In Proceedings of the International AAAI Conference on Web and Social Media , Vol. 6 . 511--514. Jalal Mahmud, Jeffrey Nichols, and Clemens Drews. 2012. Where is this tweet from? inferring home locations of twitter users. In Proceedings of the International AAAI Conference on Web and Social Media, Vol. 6. 511--514."},{"key":"e_1_3_2_1_16_1","volume-title":"Conference of the Pacific Association for Computational Linguistics. Springer, 123--134","author":"Malmasi Shervin","year":"2015","unstructured":"Shervin Malmasi and Mark Dras . 2015 . Location mention detection in tweets and microblogs . In Conference of the Pacific Association for Computational Linguistics. Springer, 123--134 . Shervin Malmasi and Mark Dras. 2015. Location mention detection in tweets and microblogs. In Conference of the Pacific Association for Computational Linguistics. Springer, 123--134."},{"key":"e_1_3_2_1_17_1","first-page":"9","article-title":"Real-time crisis mapping of natural disasters using social media","volume":"29","author":"Middleton Stuart E","year":"2013","unstructured":"Stuart E Middleton , Lee Middleton , and Stefano Modafferi . 2013 . Real-time crisis mapping of natural disasters using social media . IEEE IntelligentSystems 29 , 2 (2013), 9 -- 17 . Stuart E Middleton, Lee Middleton, and Stefano Modafferi. 2013. Real-time crisis mapping of natural disasters using social media. IEEE IntelligentSystems 29, 2 (2013), 9--17.","journal-title":"IEEE IntelligentSystems"},{"key":"e_1_3_2_1_18_1","volume-title":"BERTweet: A pre-trained language model for English Tweets. arXiv preprint arXiv:2005.10200","author":"Nguyen Dat Quoc","year":"2020","unstructured":"Dat Quoc Nguyen , Thanh Vu , and Anh Tuan Nguyen . 2020. BERTweet: A pre-trained language model for English Tweets. arXiv preprint arXiv:2005.10200 ( 2020 ). Dat Quoc Nguyen, Thanh Vu, and Anh Tuan Nguyen. 2020. BERTweet: A pre-trained language model for English Tweets. arXiv preprint arXiv:2005.10200 (2020)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2808797.2808869"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2531602.2531607"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404820.3404823"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.006"},{"key":"e_1_3_2_1_23_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , \u0141ukasz Kaiser , and Illia Polosukhin . 2017. Attention is all you need. Advances in neural information processing systems 30 ( 2017 ). Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2487575.2487576"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2698463"}],"event":{"name":"SIGSPATIAL '22: The 30th International Conference on Advances in Geographic Information Systems","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Seattle Washington","acronym":"SIGSPATIAL '22"},"container-title":["Proceedings of the 6th ACM SIGSPATIAL International Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3557992.3565989","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3557992.3565989","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:31Z","timestamp":1750182571000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3557992.3565989"}},"subtitle":["the next generation location inference research"],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":25,"alternative-id":["10.1145\/3557992.3565989","10.1145\/3557992"],"URL":"https:\/\/doi.org\/10.1145\/3557992.3565989","relation":{},"subject":[],"published":{"date-parts":[[2022,11]]},"assertion":[{"value":"2022-11-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}