{"id":"https://openalex.org/W2167443668","doi":"https://doi.org/10.1177/1473871613481691","title":"Visual sentiment analysis of customer feedback streams using geo-temporal term associations","display_name":"Visual sentiment analysis of customer feedback streams using geo-temporal term associations","publication_year":2013,"publication_date":"2013-06-21","ids":{"openalex":"https://openalex.org/W2167443668","doi":"https://doi.org/10.1177/1473871613481691","mag":"2167443668"},"language":"en","primary_location":{"id":"doi:10.1177/1473871613481691","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1473871613481691","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101997668","display_name":"Ming Hao","orcid":"https://orcid.org/0000-0001-7618-1934"},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ming C Hao","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024706967","display_name":"Christian Rohrdantz","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Rohrdantz","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071723951","display_name":"Halld\u00f3r Janetzko","orcid":"https://orcid.org/0000-0002-0038-5292"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Halldor Janetzko","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073919282","display_name":"Daniel A. Keim","orcid":"https://orcid.org/0000-0001-7966-9740"},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniel A Keim","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045738980","display_name":"Umeshwar Dayal","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umeshwar Dayal","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038448951","display_name":"Lars erik Haug","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lars erik Haug","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109925930","display_name":"Meichun Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I1324840837","display_name":"Hewlett-Packard (United States)","ror":"https://ror.org/059rn9488","country_code":"US","type":"company","lineage":["https://openalex.org/I1324840837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meichun Hsu","raw_affiliation_strings":["HP Labs, Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"HP Labs, Palo Alto, CA, USA","institution_ids":["https://openalex.org/I1324840837"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062766883","display_name":"Florian Stoffel","orcid":null},"institutions":[{"id":"https://openalex.org/I189712700","display_name":"University of Konstanz","ror":"https://ror.org/0546hnb39","country_code":"DE","type":"education","lineage":["https://openalex.org/I189712700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Stoffel","raw_affiliation_strings":["University of Konstanz, Konstanz, Germany"],"affiliations":[{"raw_affiliation_string":"University of Konstanz, Konstanz, Germany","institution_ids":["https://openalex.org/I189712700"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101997668"],"corresponding_institution_ids":["https://openalex.org/I1324840837"],"apc_list":null,"apc_paid":null,"fwci":3.8655,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.94612649,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"12","issue":"3-4","first_page":"273","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8571871519088745},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.8012968897819519},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7007294297218323},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6206672191619873},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4985628128051758},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.49392277002334595},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44716984033584595},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43308353424072266},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.43164360523223877},{"id":"https://openalex.org/keywords/association-rule-learning","display_name":"Association rule learning","score":0.41723161935806274},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.4102157950401306},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.338152676820755},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30968165397644043},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.08371558785438538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8571871519088745},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.8012968897819519},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7007294297218323},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6206672191619873},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4985628128051758},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.49392277002334595},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44716984033584595},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43308353424072266},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.43164360523223877},{"id":"https://openalex.org/C193524817","wikidata":"https://www.wikidata.org/wiki/Q386780","display_name":"Association rule learning","level":2,"score":0.41723161935806274},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.4102157950401306},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.338152676820755},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30968165397644043},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.08371558785438538},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1177/1473871613481691","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1473871613481691","pdf_url":null,"source":{"id":"https://openalex.org/S55152591","display_name":"Information Visualization","issn_l":"1473-8716","issn":["1473-8716","1473-8724"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Visualization","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.690.3550","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.690.3550","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bib.dbvis.de/uploadedFiles/VisSentimentGeo.pdf","raw_type":"text"},{"id":"pmh:oai:kops.uni-konstanz.de:123456789/24781","is_oa":false,"landing_page_url":"http://nbn-resolving.de/urn:nbn:de:bsz:352-247815","pdf_url":null,"source":{"id":"https://openalex.org/S4306401487","display_name":"KOPS (University of Konstanz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I189712700","host_organization_name":"University of Konstanz","host_organization_lineage":["https://openalex.org/I189712700"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Information Visualization. 2013, 12(3-4), pp. 273-290. ISSN 1473-8716. eISSN 1473-8724. Available under: doi: 10.1177/1473871613481691","raw_type":"doc-type:Text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1574901103","https://openalex.org/W1964613733","https://openalex.org/W1986725403","https://openalex.org/W1990517717","https://openalex.org/W2016268421","https://openalex.org/W2052238947","https://openalex.org/W2074100404","https://openalex.org/W2079656678","https://openalex.org/W2081375810","https://openalex.org/W2101181637","https://openalex.org/W2114210953","https://openalex.org/W2118027802","https://openalex.org/W2128721751","https://openalex.org/W2130247386","https://openalex.org/W2133498673","https://openalex.org/W2136146549","https://openalex.org/W2141558464","https://openalex.org/W2145139979","https://openalex.org/W2149310982","https://openalex.org/W2210278139","https://openalex.org/W2285670967","https://openalex.org/W2612304202","https://openalex.org/W3141738472","https://openalex.org/W4247849180","https://openalex.org/W4248343126"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3089396779","https://openalex.org/W2596247554","https://openalex.org/W2392697706","https://openalex.org/W366033468","https://openalex.org/W2391054147","https://openalex.org/W2605642833","https://openalex.org/W2382028496","https://openalex.org/W3003391463","https://openalex.org/W3094520207"],"abstract_inverted_index":{"Large":[0],"manufacturing":[1],"companies":[2],"frequently":[3,98],"receive":[4],"thousands":[5],"of":[6,19,88,146,168],"web":[7,175],"surveys":[8,176],"every":[9],"day.":[10],"People":[11],"share":[12],"their":[13,21],"thoughts":[14],"regarding":[15],"a":[16,50,85,102,108,121,128,161],"wide":[17],"range":[18],"products,":[20],"features,":[22],"and":[23,45,80,96,107,116,119,142,153,157,180],"the":[24,135,139,143],"service":[25],"they":[26],"received.":[27],"In":[28],"addition,":[29],"more":[30],"than":[31],"190":[32],"million":[33],"tweets":[34,46],"(small":[35],"text":[36],"Web":[37],"posts)":[38],"are":[39,47],"generated":[40],"daily.":[41],"Both":[42],"survey":[43],"feedback":[44,60,171],"underutilized":[48],"as":[49,174],"source":[51],"for":[52,164],"understanding":[53],"customer":[54,59,82,170],"sentiments.":[55],"To":[56],"explore":[57],"high-volume":[58],"streams,":[61],"in":[62],"this":[63],"article,":[64],"we":[65],"introduce":[66],"four":[67],"time":[68],"series":[69],"visual":[70],"analysis":[71,76,167],"techniques:":[72],"(1)":[73],"feature-based":[74],"sentiment":[75,111,144],"that":[77,92],"extracts,":[78],"measures,":[79],"maps":[81],"feedback;":[83],"(2)":[84],"novel":[86],"way":[87],"determining":[89],"term":[90,104,124,130],"associations":[91],"identify":[93,114],"attributes,":[94],"verbs,":[95],"adjectives":[97],"occurring":[99],"together;":[100],"(3)":[101],"self-organizing":[103],"association":[105,125],"map":[106,132],"pixel":[109],"cell\u2013based":[110],"calendar":[112],"to":[113,133,137],"co-occurring":[115],"influential":[117],"opinion;":[118],"(4)":[120],"new":[122],"geo-based":[123],"technique":[126],"providing":[127],"key":[129,148],"geo":[131],"enable":[134],"user":[136],"inspect":[138],"statistical":[140],"significance":[141],"distribution":[145],"individual":[147],"terms.":[149],"We":[150],"have":[151],"used":[152],"evaluated":[154],"these":[155],"techniques":[156],"combined":[158],"them":[159],"into":[160],"well-fitted":[162],"solution":[163],"an":[165],"effective":[166],"large":[169],"streams":[172],"such":[173],"(from":[177],"product":[178],"buyers)":[179],"Twitter":[181],"(e.g.":[182],"from":[183],"Kung-Fu":[184],"Panda":[185],"movie":[186],"reviewers).":[187]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
