Eintrag weiter verarbeiten
Influential post identification on Instagram through caption and hashtag analysis
Gespeichert in:
| Zeitschriftentitel: | Measurement and Control |
|---|---|
| Personen und Körperschaften: | , |
| In: | Measurement and Control, 53, 2020, 3-4, S. 409-415 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
SAGE Publications
|
| Schlagwörter: |
| author_facet |
Bashari, Benyamin Fazl-Ersi, Ehsan Bashari, Benyamin Fazl-Ersi, Ehsan |
|---|---|
| author |
Bashari, Benyamin Fazl-Ersi, Ehsan |
| spellingShingle |
Bashari, Benyamin Fazl-Ersi, Ehsan Measurement and Control Influential post identification on Instagram through caption and hashtag analysis Applied Mathematics Control and Optimization Instrumentation |
| author_sort |
bashari, benyamin |
| spelling |
Bashari, Benyamin Fazl-Ersi, Ehsan 0020-2940 SAGE Publications Applied Mathematics Control and Optimization Instrumentation http://dx.doi.org/10.1177/0020294019877489 <jats:p> Influencer marketing through social networks is becoming an important alternative to traditional ways of advertising. Various solutions have been proposed that often take advantage of graph-based approaches to discover influencers in social networks. This paper designs a new method for the discovery of influential users in Instagram, by focusing on user-generated posts as an alternative source of information, to potentially augment the existing solutions based on network topology or connections. The text associated with each Instagram post potentially consists of a set of hashtags and a descriptive caption. Various word embedding methods such as Co-occurrence and fastText are examined to represent captions and hashtags. These representations are combined within a support vector machines framework to distinguish influential posts from non-influential ones. Extensive experiments show that the text data can play a significant role in identifying influential posts, and further demonstrate the strength of the proposed method for discovering influencers on Instagram. </jats:p> Influential post identification on Instagram through caption and hashtag analysis Measurement and Control |
| doi_str_mv |
10.1177/0020294019877489 |
| facet_avail |
Online Free |
| finc_class_facet |
Mathematik Technik Allgemeines |
| format |
ElectronicArticle |
| fullrecord |
blob:ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE3Ny8wMDIwMjk0MDE5ODc3NDg5 |
| id |
ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE3Ny8wMDIwMjk0MDE5ODc3NDg5 |
| institution |
DE-Zi4 DE-Gla1 DE-15 DE-Pl11 DE-Rs1 DE-14 DE-105 DE-Ch1 DE-L229 DE-D275 DE-Bn3 DE-Brt1 DE-Zwi2 DE-D161 |
| imprint |
SAGE Publications, 2020 |
| imprint_str_mv |
SAGE Publications, 2020 |
| issn |
0020-2940 |
| issn_str_mv |
0020-2940 |
| language |
English |
| mega_collection |
SAGE Publications (CrossRef) |
| match_str |
bashari2020influentialpostidentificationoninstagramthroughcaptionandhashtaganalysis |
| publishDateSort |
2020 |
| publisher |
SAGE Publications |
| recordtype |
ai |
| record_format |
ai |
| series |
Measurement and Control |
| source_id |
49 |
| title |
Influential post identification on Instagram through caption and hashtag analysis |
| title_unstemmed |
Influential post identification on Instagram through caption and hashtag analysis |
| title_full |
Influential post identification on Instagram through caption and hashtag analysis |
| title_fullStr |
Influential post identification on Instagram through caption and hashtag analysis |
| title_full_unstemmed |
Influential post identification on Instagram through caption and hashtag analysis |
| title_short |
Influential post identification on Instagram through caption and hashtag analysis |
| title_sort |
influential post identification on instagram through caption and hashtag analysis |
| topic |
Applied Mathematics Control and Optimization Instrumentation |
| url |
http://dx.doi.org/10.1177/0020294019877489 |
| publishDate |
2020 |
| physical |
409-415 |
| description |
<jats:p> Influencer marketing through social networks is becoming an important alternative to traditional ways of advertising. Various solutions have been proposed that often take advantage of graph-based approaches to discover influencers in social networks. This paper designs a new method for the discovery of influential users in Instagram, by focusing on user-generated posts as an alternative source of information, to potentially augment the existing solutions based on network topology or connections. The text associated with each Instagram post potentially consists of a set of hashtags and a descriptive caption. Various word embedding methods such as Co-occurrence and fastText are examined to represent captions and hashtags. These representations are combined within a support vector machines framework to distinguish influential posts from non-influential ones. Extensive experiments show that the text data can play a significant role in identifying influential posts, and further demonstrate the strength of the proposed method for discovering influencers on Instagram. </jats:p> |
| container_issue |
3-4 |
| container_start_page |
409 |
| container_title |
Measurement and Control |
| container_volume |
53 |
| format_de105 |
Article, E-Article |
| format_de14 |
Article, E-Article |
| format_de15 |
Article, E-Article |
| format_de520 |
Article, E-Article |
| format_de540 |
Article, E-Article |
| format_dech1 |
Article, E-Article |
| format_ded117 |
Article, E-Article |
| format_degla1 |
E-Article |
| format_del152 |
Buch |
| format_del189 |
Article, E-Article |
| format_dezi4 |
Article |
| format_dezwi2 |
Article, E-Article |
| format_finc |
Article, E-Article |
| format_nrw |
Article, E-Article |
| _version_ |
1792344284141191170 |
| geogr_code |
not assigned |
| last_indexed |
2024-03-01T17:05:09.334Z |
| geogr_code_person |
not assigned |
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Influential+post+identification+on+Instagram+through+caption+and+hashtag+analysis&rft.date=2020-03-01&genre=article&issn=0020-2940&volume=53&issue=3-4&spage=409&epage=415&pages=409-415&jtitle=Measurement+and+Control&atitle=Influential+post+identification+on+Instagram+through+caption+and+hashtag+analysis&aulast=Fazl-Ersi&aufirst=Ehsan&rft_id=info%3Adoi%2F10.1177%2F0020294019877489&rft.language%5B0%5D=eng |
| SOLR | |
| _version_ | 1792344284141191170 |
| author | Bashari, Benyamin, Fazl-Ersi, Ehsan |
| author_facet | Bashari, Benyamin, Fazl-Ersi, Ehsan, Bashari, Benyamin, Fazl-Ersi, Ehsan |
| author_sort | bashari, benyamin |
| container_issue | 3-4 |
| container_start_page | 409 |
| container_title | Measurement and Control |
| container_volume | 53 |
| description | <jats:p> Influencer marketing through social networks is becoming an important alternative to traditional ways of advertising. Various solutions have been proposed that often take advantage of graph-based approaches to discover influencers in social networks. This paper designs a new method for the discovery of influential users in Instagram, by focusing on user-generated posts as an alternative source of information, to potentially augment the existing solutions based on network topology or connections. The text associated with each Instagram post potentially consists of a set of hashtags and a descriptive caption. Various word embedding methods such as Co-occurrence and fastText are examined to represent captions and hashtags. These representations are combined within a support vector machines framework to distinguish influential posts from non-influential ones. Extensive experiments show that the text data can play a significant role in identifying influential posts, and further demonstrate the strength of the proposed method for discovering influencers on Instagram. </jats:p> |
| doi_str_mv | 10.1177/0020294019877489 |
| facet_avail | Online, Free |
| finc_class_facet | Mathematik, Technik, Allgemeines |
| format | ElectronicArticle |
| format_de105 | Article, E-Article |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_de520 | Article, E-Article |
| format_de540 | Article, E-Article |
| format_dech1 | Article, E-Article |
| format_ded117 | Article, E-Article |
| format_degla1 | E-Article |
| format_del152 | Buch |
| format_del189 | Article, E-Article |
| format_dezi4 | Article |
| format_dezwi2 | Article, E-Article |
| format_finc | Article, E-Article |
| format_nrw | Article, E-Article |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| id | ai-49-aHR0cDovL2R4LmRvaS5vcmcvMTAuMTE3Ny8wMDIwMjk0MDE5ODc3NDg5 |
| imprint | SAGE Publications, 2020 |
| imprint_str_mv | SAGE Publications, 2020 |
| institution | DE-Zi4, DE-Gla1, DE-15, DE-Pl11, DE-Rs1, DE-14, DE-105, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161 |
| issn | 0020-2940 |
| issn_str_mv | 0020-2940 |
| language | English |
| last_indexed | 2024-03-01T17:05:09.334Z |
| match_str | bashari2020influentialpostidentificationoninstagramthroughcaptionandhashtaganalysis |
| mega_collection | SAGE Publications (CrossRef) |
| physical | 409-415 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| publisher | SAGE Publications |
| record_format | ai |
| recordtype | ai |
| series | Measurement and Control |
| source_id | 49 |
| spelling | Bashari, Benyamin Fazl-Ersi, Ehsan 0020-2940 SAGE Publications Applied Mathematics Control and Optimization Instrumentation http://dx.doi.org/10.1177/0020294019877489 <jats:p> Influencer marketing through social networks is becoming an important alternative to traditional ways of advertising. Various solutions have been proposed that often take advantage of graph-based approaches to discover influencers in social networks. This paper designs a new method for the discovery of influential users in Instagram, by focusing on user-generated posts as an alternative source of information, to potentially augment the existing solutions based on network topology or connections. The text associated with each Instagram post potentially consists of a set of hashtags and a descriptive caption. Various word embedding methods such as Co-occurrence and fastText are examined to represent captions and hashtags. These representations are combined within a support vector machines framework to distinguish influential posts from non-influential ones. Extensive experiments show that the text data can play a significant role in identifying influential posts, and further demonstrate the strength of the proposed method for discovering influencers on Instagram. </jats:p> Influential post identification on Instagram through caption and hashtag analysis Measurement and Control |
| spellingShingle | Bashari, Benyamin, Fazl-Ersi, Ehsan, Measurement and Control, Influential post identification on Instagram through caption and hashtag analysis, Applied Mathematics, Control and Optimization, Instrumentation |
| title | Influential post identification on Instagram through caption and hashtag analysis |
| title_full | Influential post identification on Instagram through caption and hashtag analysis |
| title_fullStr | Influential post identification on Instagram through caption and hashtag analysis |
| title_full_unstemmed | Influential post identification on Instagram through caption and hashtag analysis |
| title_short | Influential post identification on Instagram through caption and hashtag analysis |
| title_sort | influential post identification on instagram through caption and hashtag analysis |
| title_unstemmed | Influential post identification on Instagram through caption and hashtag analysis |
| topic | Applied Mathematics, Control and Optimization, Instrumentation |
| url | http://dx.doi.org/10.1177/0020294019877489 |