Semantic and geospatial mapping of instagram images in Saint-Petersburg

Yuri Rykov; Oleg Stanislavovich Nagornyy; Olessia Koltsova; Lev Manovich; Damiano Cerrone; Damon Crockett

Semantic and geospatial mapping of instagram images in Saint-Petersburg

Yuri Rykov
, Oleg Stanislavovich Nagornyy
, Olessia Koltsova
, Lev Manovich
, Damiano Cerrone
, Damon Crockett

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific

Abstract

The availability of large urban social media data creates new opportunities for studying cities. In our paper we propose a new direction for this research: a joint analysis of geolocations of shared images and their content as determined by computer vision. To test our ideas, we use a dataset of 47,410 Instagram images shared in the city of St.Petersburg over one year. We show how a combination of semantic clustering, image recognition and geospatial analysis can detect important patterns related to both how people use a city and how they represent in social media.

Original language	English
Title of host publication	Artificial Intelligence and Natural Language AINL FRUCT 2016 Conference
Publication status	Published - 2016
Externally published	Yes
Publication type	B3 Article in conference proceedings

Keywords

Artificial Intelligence
urban studies
Data science
computer science

Cite this

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title = "Semantic and geospatial mapping of instagram images in Saint-Petersburg",

abstract = "The availability of large urban social media data creates new opportunities for studying cities. In our paper we propose a new direction for this research: a joint analysis of geolocations of shared images and their content as determined by computer vision. To test our ideas, we use a dataset of 47,410 Instagram images shared in the city of St.Petersburg over one year. We show how a combination of semantic clustering, image recognition and geospatial analysis can detect important patterns related to both how people use a city and how they represent in social media. ",

keywords = "Artificial Intelligence, urban studies, Data science, computer science",

author = "Yuri Rykov and \{Stanislavovich Nagornyy\}, Oleg and Olessia Koltsova and Lev Manovich and Damiano Cerrone and Damon Crockett",

note = "EXT={"}Cerrone, Damiano{"}",

year = "2016",

language = "English",

booktitle = "Artificial Intelligence and Natural Language AINL FRUCT 2016 Conference",

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TY - GEN

T1 - Semantic and geospatial mapping of instagram images in Saint-Petersburg

AU - Rykov, Yuri

AU - Stanislavovich Nagornyy, Oleg

AU - Koltsova, Olessia

AU - Manovich, Lev

AU - Cerrone, Damiano

AU - Crockett, Damon

N1 - EXT="Cerrone, Damiano"

PY - 2016

Y1 - 2016

N2 - The availability of large urban social media data creates new opportunities for studying cities. In our paper we propose a new direction for this research: a joint analysis of geolocations of shared images and their content as determined by computer vision. To test our ideas, we use a dataset of 47,410 Instagram images shared in the city of St.Petersburg over one year. We show how a combination of semantic clustering, image recognition and geospatial analysis can detect important patterns related to both how people use a city and how they represent in social media.

AB - The availability of large urban social media data creates new opportunities for studying cities. In our paper we propose a new direction for this research: a joint analysis of geolocations of shared images and their content as determined by computer vision. To test our ideas, we use a dataset of 47,410 Instagram images shared in the city of St.Petersburg over one year. We show how a combination of semantic clustering, image recognition and geospatial analysis can detect important patterns related to both how people use a city and how they represent in social media.

KW - Artificial Intelligence

KW - urban studies

KW - Data science

KW - computer science

M3 - Conference contribution

BT - Artificial Intelligence and Natural Language AINL FRUCT 2016 Conference

ER -

Semantic and geospatial mapping of instagram images in Saint-Petersburg

Abstract

Keywords

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Cite this