{"id":"https://openalex.org/W2251600051","doi":"https://doi.org/10.18653/v1/w15-2912","title":"Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget's Thesaurus","display_name":"Imagisaurus: An Interactive Visualizer of Valence and Emotion in the Roget's Thesaurus","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2251600051","doi":"https://doi.org/10.18653/v1/w15-2912","mag":"2251600051"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w15-2912","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-2912","pdf_url":"https://www.aclweb.org/anthology/W15-2912.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W15-2912.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033684482","display_name":"Saif M. Mohammad","orcid":"https://orcid.org/0000-0003-2716-7516"},"institutions":[{"id":"https://openalex.org/I4210159778","display_name":"National Research Council Canada","ror":"https://ror.org/04mte1k06","country_code":"CA","type":"government","lineage":["https://openalex.org/I4210159778"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Saif Mohammad","raw_affiliation_strings":["National Research Council Canada"],"affiliations":[{"raw_affiliation_string":"National Research Council Canada","institution_ids":["https://openalex.org/I4210159778"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5033684482"],"corresponding_institution_ids":["https://openalex.org/I4210159778"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08260743,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9986000061035156,"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"}},"topics":[{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9986000061035156,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9873999953269958,"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/T11795","display_name":"Humor Studies and Applications","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thesaurus","display_name":"Thesaurus","score":0.9257546067237854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7667747735977173},{"id":"https://openalex.org/keywords/lexicon","display_name":"Lexicon","score":0.7454919219017029},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6131137013435364},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5394227504730225},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.47805550694465637},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4356595277786255},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.43130090832710266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41228151321411133},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16158312559127808}],"concepts":[{"id":"https://openalex.org/C2778698081","wikidata":"https://www.wikidata.org/wiki/Q179797","display_name":"Thesaurus","level":2,"score":0.9257546067237854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7667747735977173},{"id":"https://openalex.org/C2778121359","wikidata":"https://www.wikidata.org/wiki/Q8096","display_name":"Lexicon","level":2,"score":0.7454919219017029},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6131137013435364},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5394227504730225},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.47805550694465637},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4356595277786255},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.43130090832710266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41228151321411133},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16158312559127808},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/w15-2912","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-2912","pdf_url":"https://www.aclweb.org/anthology/W15-2912.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:115393","is_oa":true,"landing_page_url":"https://www.openaccessrepository.it/record/115393","pdf_url":null,"source":{"id":"https://openalex.org/S4306402478","display_name":"INFM-OAR (INFN Catania)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210116497","host_organization_name":"Istituto Nazionale di Fisica Nucleare, Sezione di Catania","host_organization_lineage":["https://openalex.org/I4210116497"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"doi:10.18653/v1/w15-2912","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w15-2912","pdf_url":"https://www.aclweb.org/anthology/W15-2912.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251600051.pdf","grobid_xml":"https://content.openalex.org/works/W2251600051.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W628617581","https://openalex.org/W1521908097","https://openalex.org/W1710422233","https://openalex.org/W1982323159","https://openalex.org/W2040004971","https://openalex.org/W2040467972","https://openalex.org/W2156413587","https://openalex.org/W2157205019","https://openalex.org/W2160660844","https://openalex.org/W2162010436","https://openalex.org/W2163953154","https://openalex.org/W2166048187","https://openalex.org/W2404480901","https://openalex.org/W2482675941","https://openalex.org/W2621376367","https://openalex.org/W3133994440","https://openalex.org/W4249402966"],"related_works":["https://openalex.org/W2140536630","https://openalex.org/W3195005284","https://openalex.org/W2391730868","https://openalex.org/W4394659737","https://openalex.org/W2759814045","https://openalex.org/W2118055728","https://openalex.org/W4399756845","https://openalex.org/W2736760277","https://openalex.org/W4386940087","https://openalex.org/W4386931226"],"abstract_inverted_index":{"The":[0],"form":[1],"of":[2,47,79,113,115,128],"a":[3,32,56,133],"thesaurus":[4,49,53],"often":[5],"restricts":[6],"its":[7],"use":[8],"to":[9,98],"word":[10,35],"look":[11],"ups":[12],"and":[13,45,59,107],"finding":[14],"related":[15],"words.":[16],"We":[17],"present":[18],"Imagisaurus,":[19],"an":[20],"online":[21],"interactive":[22,94],"visualizer":[23],"for":[24,34],"the":[25,43,48,66,76,100,104,108],"Roget's":[26,105],"Thesaurus,":[27],"which":[28],"not":[29],"only":[30,72],"provides":[31],"way":[33],"lookups":[36],"but":[37],"also":[38],"helps":[39],"users":[40,120],"quickly":[41],"grasp":[42],"nature":[44],"size":[46],"taxonomy.":[50],"Imagisaurus":[51],"connects":[52],"entries":[54],"with":[55,75,81],"large":[57],"valence":[58],"emotion":[60,101,109],"association":[61,80],"lexicon.":[62,102],"Easy-touse":[63],"sliders":[64],"give":[65],"user":[67],"fine":[68],"control":[69],"over":[70],"depicting":[71],"those":[73],"categories":[74],"desired":[77],"strength":[78],"positive":[82],"or":[83],"negative":[84],"sentiment,":[85],"as":[86,88,132],"well":[87],"eight":[89],"basic":[90],"emotions.":[91],"A":[92],"second":[93],"visualization":[95],"is":[96],"used":[97],"explore":[99],"Both":[103],"Thesaurus":[106],"lexicon":[110],"have":[111],"tens":[112],"thousands":[114],"entries.":[116],"Our":[117],"visualizers":[118],"help":[119],"better":[121],"understand":[122],"these":[123],"lexical":[124],"resources":[125],"in":[126],"terms":[127],"their":[129],"make":[130],"up":[131],"whole.":[134]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
