{"id":"https://openalex.org/W2594843480","doi":"https://doi.org/10.18653/v1/p17-4015","title":"Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ","display_name":"Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2594843480","doi":"https://doi.org/10.18653/v1/p17-4015","mag":"2594843480"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p17-4015","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-4015","pdf_url":"https://www.aclweb.org/anthology/P17-4015.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 ACL 2017, System Demonstrations","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P17-4015.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012826078","display_name":"Jason S. Kessler","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jason Kessler","raw_affiliation_strings":["Indiana University, Bloomington, United States"],"affiliations":[{"raw_affiliation_string":"Indiana University, Bloomington, United States","institution_ids":["https://openalex.org/I4210119109"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5012826078"],"corresponding_institution_ids":["https://openalex.org/I4210119109"],"apc_list":null,"apc_paid":null,"fwci":1.37507783,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8356203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9948999881744385,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9948999881744385,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9868000149726868,"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/visualization","display_name":"Visualization","score":0.8073710799217224},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7667133808135986},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.7576315402984619},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.6499466896057129},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6362855434417725},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6159042119979858},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5535288453102112},{"id":"https://openalex.org/keywords/variation","display_name":"Variation (astronomy)","score":0.5134857296943665},{"id":"https://openalex.org/keywords/interactive-visualization","display_name":"Interactive visualization","score":0.45658180117607117},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.412280797958374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2992437779903412},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15670311450958252},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0887427031993866},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.07791230082511902},{"id":"https://openalex.org/keywords/astrophysics","display_name":"Astrophysics","score":0.0574454665184021}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.8073710799217224},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7667133808135986},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.7576315402984619},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.6499466896057129},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6362855434417725},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6159042119979858},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5535288453102112},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.5134857296943665},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.45658180117607117},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.412280797958374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2992437779903412},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15670311450958252},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0887427031993866},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.07791230082511902},{"id":"https://openalex.org/C44870925","wikidata":"https://www.wikidata.org/wiki/Q37547","display_name":"Astrophysics","level":1,"score":0.0574454665184021},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":4,"locations":[{"id":"doi:10.18653/v1/p17-4015","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-4015","pdf_url":"https://www.aclweb.org/anthology/P17-4015.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 ACL 2017, System Demonstrations","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1703.00565","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1703.00565","pdf_url":"https://arxiv.org/pdf/1703.00565","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"mag:2594843480","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1703.00565.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1703.00565","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1703.00565","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/p17-4015","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p17-4015","pdf_url":"https://www.aclweb.org/anthology/P17-4015.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 ACL 2017, System Demonstrations","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2594843480.pdf","grobid_xml":"https://content.openalex.org/works/W2594843480.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W633815910","https://openalex.org/W1783061888","https://openalex.org/W2038411619","https://openalex.org/W2063655617","https://openalex.org/W2119595472","https://openalex.org/W2138350120","https://openalex.org/W2162993653","https://openalex.org/W2166448251","https://openalex.org/W2250539671","https://openalex.org/W2252083640","https://openalex.org/W2417132441","https://openalex.org/W2465750682"],"related_works":["https://openalex.org/W2963355221","https://openalex.org/W2539144768","https://openalex.org/W1947395582","https://openalex.org/W2296653899","https://openalex.org/W2182378206","https://openalex.org/W2110101096","https://openalex.org/W2795226127","https://openalex.org/W1966325748","https://openalex.org/W2199680063","https://openalex.org/W2258262348","https://openalex.org/W1960171948","https://openalex.org/W2281016067","https://openalex.org/W1548446134","https://openalex.org/W2969028330","https://openalex.org/W2945848279","https://openalex.org/W33930902","https://openalex.org/W264319473","https://openalex.org/W1962105748","https://openalex.org/W353806839","https://openalex.org/W1564686784"],"abstract_inverted_index":{"Scattertext":[0,61],"is":[1,43],"an":[2],"open":[3],"source":[4],"tool":[5,18,42],"for":[6,87],"visualizing":[7],"linguistic":[8],"variation":[9],"between":[10,79],"document":[11,80],"categories":[12],"in":[13,32],"a":[14,20,29,33,38,66,85],"language-independent":[15],"way.":[16],"The":[17],"presents":[19],"scatterplot,":[21],"where":[22],"each":[23],"axis":[24],"corresponds":[25],"to":[26,45,55,65,95],"the":[27,41,71,89],"rank-frequency":[28],"term":[30],"occurs":[31],"category":[34],"of":[35,48,59,69,73,92],"documents.":[36],"Through":[37],"tie-breaking":[39],"strategy,":[40],"able":[44],"display":[46],"thousands":[47],"visible":[49],"term-representing":[50],"points":[51],"and":[52],"find":[53],"space":[54],"legibly":[56],"label":[57],"hundreds":[58],"them.":[60],"also":[62],"lends":[63],"itself":[64],"query-based":[67],"visualization":[68,86],"how":[70],"use":[72],"terms":[74],"with":[75],"similar":[76],"embeddings":[77],"differs":[78],"categories,":[81],"as":[82,84],"well":[83],"comparing":[88],"importance":[90],"scores":[91],"bag-of-words":[93],"features":[94],"univariate":[96],"metrics.":[97]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}