{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:13:08Z","timestamp":1750219988943,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"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"}],"funder":[{"name":"European Union?s Horizon 2020","award":["777695"],"award-info":[{"award-number":["777695"]}]},{"name":"H2020 EU GO GREEN ROUTES","award":["869764"],"award-info":[{"award-number":["869764"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,11]]},"DOI":"10.1145\/3557918.3565875","type":"proceedings-article","created":{"date-parts":[[2022,11,15]],"date-time":"2022-11-15T01:41:57Z","timestamp":1668476517000},"page":"82-91","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Fine-grained location prediction of non geo-tagged tweets"],"prefix":"10.1145","author":[{"given":"Mohammad","family":"Abboud","sequence":"first","affiliation":[{"name":"UVSQ - Universit\u00e9 Paris-Saclay, Versailles, Yvelines, France"}]},{"given":"Karine","family":"Zeitouni","sequence":"additional","affiliation":[{"name":"UVSQ - Universit\u00e9 Paris-Saclay, Versailles, Yvelines, France"}]},{"given":"Yehia","family":"Taher","sequence":"additional","affiliation":[{"name":"UVSQ - Universit\u00e9 Paris-Saclay, Versailles, Yvelines, France"}]}],"member":"320","published-online":{"date-parts":[[2022,11,14]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the Workshops of the EDBT\/ICDT 2021 Joint Conference 2841","author":"Abboud Mohammad","year":"2021","unstructured":"Mohammad Abboud , Hafsa El Hafyani , Jingwei Zuo , Karine Zeitouni , and Yehia Taher . 2021 . Micro-environment Recognition in the context of Environmental Crowdsensing . Proceedings of the Workshops of the EDBT\/ICDT 2021 Joint Conference 2841 (2021). Mohammad Abboud, Hafsa El Hafyani, Jingwei Zuo, Karine Zeitouni, and Yehia Taher. 2021. Micro-environment Recognition in the context of Environmental Crowdsensing. Proceedings of the Workshops of the EDBT\/ICDT 2021 Joint Conference 2841 (2021)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2424321.2424348"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT). The COLING 2016 Organizing Committee","author":"Chi Lianhua","year":"2016","unstructured":"Lianhua Chi , Kwan Hui Lim , Nebula Alam , and Christopher Butler . 2016 . Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features . In Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT). The COLING 2016 Organizing Committee , Osaka, Japan. Lianhua Chi, Kwan Hui Lim, Nebula Alam, and Christopher Butler. 2016. Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features. In Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT). The COLING 2016 Organizing Committee, Osaka, Japan."},{"key":"e_1_3_2_1_4_1","volume-title":"Fine-grained Geolocation Prediction of Tweets with Human Machine Collaboration. arXiv preprint arXiv:2106.13411","author":"Dutt Florina","year":"2021","unstructured":"Florina Dutt and Subhajit Das . 2021. Fine-grained Geolocation Prediction of Tweets with Human Machine Collaboration. arXiv preprint arXiv:2106.13411 ( 2021 ). Florina Dutt and Subhajit Das. 2021. Fine-grained Geolocation Prediction of Tweets with Human Machine Collaboration. arXiv preprint arXiv:2106.13411 (2021)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.06.004"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3121050.3121104"},{"key":"e_1_3_2_1_7_1","volume-title":"EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. 2021 IEEE 37th International Conference on Data Engineering (ICDE)","author":"Hui Bo","year":"2021","unstructured":"Bo Hui , Haiquan Chen , Da Yan , and Wei-Shinn Ku . 2021 . EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. 2021 IEEE 37th International Conference on Data Engineering (ICDE) (2021), 1092--1103. Bo Hui, Haiquan Chen, Da Yan, and Wei-Shinn Ku. 2021. EDGE: Entity-Diffusion Gaussian Ensemble for Interpretable Tweet Geolocation Prediction. 2021 IEEE 37th International Conference on Data Engineering (ICDE) (2021), 1092--1103."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357926"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2688799"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.211"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Asian Federation of Natural Language Processing","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 . In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Asian Federation of Natural Language Processing , Taipei, Taiwan, 744--753. https:\/\/aclanthology.org\/I17-1075 Jey Han Lau, Lianhua Chi, Khoi-Nguyen Tran, and Trevor Cohn. 2017. End-to-end Network for Twitter Geolocation Prediction and Hashing. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Asian Federation of Natural Language Processing, Taipei, Taiwan, 744--753. https:\/\/aclanthology.org\/I17-1075"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308557.3308691"},{"key":"e_1_3_2_1_13_1","volume-title":"Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects. International Committee on Computational Linguistics (ICCL), Barcelona, Spain (Online), 283--289","author":"Mishra Piyush","year":"2020","unstructured":"Piyush Mishra . 2020 . Geolocation of Tweets with a BiLSTM Regression Model . In Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects. International Committee on Computational Linguistics (ICCL), Barcelona, Spain (Online), 283--289 . https:\/\/aclanthology.org\/2020.vardial-1.27 Piyush Mishra. 2020. Geolocation of Tweets with a BiLSTM Regression Model. In Proceedings of the 7th Workshop on NLP for Similar Languages, Varieties and Dialects. International Committee on Computational Linguistics (ICCL), Barcelona, Spain (Online), 283--289. https:\/\/aclanthology.org\/2020.vardial-1.27"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210109"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2018.03.011"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1410"},{"key":"e_1_3_2_1_17_1","volume-title":"a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108","author":"Sanh Victor","year":"2019","unstructured":"Victor Sanh , Lysandre Debut , Julien Chaumond , and Thomas Wolf . 2019. DistilBERT , a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108 ( 2019 ). Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2019. DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. arXiv preprint arXiv:1910.01108 (2019)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.5153\/sro.3001"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3356471.3365243"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2020.e04804"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098027"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911519"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2807840"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.elerap.2017.12.003"}],"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 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3557918.3565875","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3557918.3565875","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\/3557918.3565875"}},"subtitle":["a multi-view learning approach"],"short-title":[],"issued":{"date-parts":[[2022,11]]},"references-count":24,"alternative-id":["10.1145\/3557918.3565875","10.1145\/3557918"],"URL":"https:\/\/doi.org\/10.1145\/3557918.3565875","relation":{},"subject":[],"published":{"date-parts":[[2022,11]]},"assertion":[{"value":"2022-11-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}