An overview of microblog user geolocation methods
• This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation,...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Luo, Xiangyang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020transfer abstract |
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| Übergeordnetes Werk: |
Enthalten in: Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts - Feng, Yonghai ELSEVIER, 2014, an international journal, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:57 ; year:2020 ; number:6 ; pages:0 |
| Links: |
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| DOI / URN: |
10.1016/j.ipm.2020.102375 |
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| 520 | |a • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. | ||
| 520 | |a • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. | ||
| 700 | 1 | |a Qiao, Yaqiong |4 oth | |
| 700 | 1 | |a Li, Chenliang |4 oth | |
| 700 | 1 | |a Ma, Jiangtao |4 oth | |
| 700 | 1 | |a Liu, Yimin |4 oth | |
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10.1016/j.ipm.2020.102375 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001191.pica (DE-627)ELV051768577 (ELSEVIER)S0306-4573(20)30870-0 DE-627 ger DE-627 rakwb eng 540 VZ 570 VZ 58.11 bkl Luo, Xiangyang verfasserin aut An overview of microblog user geolocation methods 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. Qiao, Yaqiong oth Li, Chenliang oth Ma, Jiangtao oth Liu, Yimin oth Enthalten in Elsevier Science Feng, Yonghai ELSEVIER Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017696526 volume:57 year:2020 number:6 pages:0 https://doi.org/10.1016/j.ipm.2020.102375 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_23 GBV_ILN_70 58.11 Mechanische Verfahrenstechnik VZ AR 57 2020 6 0 |
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10.1016/j.ipm.2020.102375 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001191.pica (DE-627)ELV051768577 (ELSEVIER)S0306-4573(20)30870-0 DE-627 ger DE-627 rakwb eng 540 VZ 570 VZ 58.11 bkl Luo, Xiangyang verfasserin aut An overview of microblog user geolocation methods 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. Qiao, Yaqiong oth Li, Chenliang oth Ma, Jiangtao oth Liu, Yimin oth Enthalten in Elsevier Science Feng, Yonghai ELSEVIER Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017696526 volume:57 year:2020 number:6 pages:0 https://doi.org/10.1016/j.ipm.2020.102375 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_23 GBV_ILN_70 58.11 Mechanische Verfahrenstechnik VZ AR 57 2020 6 0 |
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10.1016/j.ipm.2020.102375 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001191.pica (DE-627)ELV051768577 (ELSEVIER)S0306-4573(20)30870-0 DE-627 ger DE-627 rakwb eng 540 VZ 570 VZ 58.11 bkl Luo, Xiangyang verfasserin aut An overview of microblog user geolocation methods 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. Qiao, Yaqiong oth Li, Chenliang oth Ma, Jiangtao oth Liu, Yimin oth Enthalten in Elsevier Science Feng, Yonghai ELSEVIER Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017696526 volume:57 year:2020 number:6 pages:0 https://doi.org/10.1016/j.ipm.2020.102375 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_23 GBV_ILN_70 58.11 Mechanische Verfahrenstechnik VZ AR 57 2020 6 0 |
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10.1016/j.ipm.2020.102375 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001191.pica (DE-627)ELV051768577 (ELSEVIER)S0306-4573(20)30870-0 DE-627 ger DE-627 rakwb eng 540 VZ 570 VZ 58.11 bkl Luo, Xiangyang verfasserin aut An overview of microblog user geolocation methods 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. Qiao, Yaqiong oth Li, Chenliang oth Ma, Jiangtao oth Liu, Yimin oth Enthalten in Elsevier Science Feng, Yonghai ELSEVIER Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017696526 volume:57 year:2020 number:6 pages:0 https://doi.org/10.1016/j.ipm.2020.102375 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_23 GBV_ILN_70 58.11 Mechanische Verfahrenstechnik VZ AR 57 2020 6 0 |
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10.1016/j.ipm.2020.102375 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001191.pica (DE-627)ELV051768577 (ELSEVIER)S0306-4573(20)30870-0 DE-627 ger DE-627 rakwb eng 540 VZ 570 VZ 58.11 bkl Luo, Xiangyang verfasserin aut An overview of microblog user geolocation methods 2020transfer abstract nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. • This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. Qiao, Yaqiong oth Li, Chenliang oth Ma, Jiangtao oth Liu, Yimin oth Enthalten in Elsevier Science Feng, Yonghai ELSEVIER Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts 2014 an international journal Amsterdam [u.a.] (DE-627)ELV017696526 volume:57 year:2020 number:6 pages:0 https://doi.org/10.1016/j.ipm.2020.102375 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_20 GBV_ILN_23 GBV_ILN_70 58.11 Mechanische Verfahrenstechnik VZ AR 57 2020 6 0 |
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Enthalten in Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts Amsterdam [u.a.] volume:57 year:2020 number:6 pages:0 |
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Selective oxidation of 1,2-propanediol to lactic acid catalyzed by nanosized Mg(OH)2-supported bimetallic Au–Pd catalysts |
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Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">• This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. 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Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. 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• This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. |
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• This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. |
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• This paper reviews the existing microblog user geolocalisation methods, and summarizes a general framework for microblog user geolocalisation. Along with the framework, we review the studies on user geolocalisation from the aspects of data acquisition, data preprocessing, location representation, user geolocalisation methods categorization, and evaluation metrics. • Based on the input of the geolocalisation algorithm, we categorize microblog user geolocalisation methods into three categories: text-based methods, network-based methods, and multi-view based methods. We summarize the advantages and limitations of each type of method theoretically. • We conduct a performance comparison of existing methods based on the results reported in existing literature with the most widely used real-world datasets and evaluation metrics. The advantages and disadvantages of existing methods are further uncovered by comparing them experimentally. Important research challenges that may need further attention are discussed according to our analysis. • Survey findings conclude that multiview-based methods are superior to the text-based methods as well as the network-based methods. Besides that, existing user geolocalisation methods cannot capture the user's home location change, resulting in the misjudged results. Also, how to locate users from multiple social platforms is relatively unaddressed. Hence, the geolocalization of users across multiple social platforms is one of the problems that deserve further research. |
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