{"id":"https://openalex.org/W3042301927","doi":"https://doi.org/10.5220/0009892001210132","title":"Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining","display_name":"Learning Interpretable and Statistically Significant Knowledge from Unlabeled Corpora of Social Text Messages: A Novel Methodology of Descriptive Text Mining","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3042301927","doi":"https://doi.org/10.5220/0009892001210132","mag":"3042301927"},"language":"en","primary_location":{"id":"doi:10.5220/0009892001210132","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009892001210132","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0009892001210132","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030361899","display_name":"Giacomo Frisoni","orcid":"https://orcid.org/0000-0002-9845-0231"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giacomo Frisoni","raw_affiliation_strings":["Department of Computer Science and Engineering \u2013 DISI, University of Bologna, Via dell\u2019Universit\u00e0 50, I-47522, Cesena, Italy, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering \u2013 DISI, University of Bologna, Via dell\u2019Universit\u00e0 50, I-47522, Cesena, Italy, --- Select a Country ---","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079648393","display_name":"Gianluca Moro","orcid":"https://orcid.org/0000-0002-3663-7877"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gianluca Moro","raw_affiliation_strings":["Department of Computer Science and Engineering \u2013 DISI, University of Bologna, Via dell\u2019Universit\u00e0 50, I-47522, Cesena, Italy, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering \u2013 DISI, University of Bologna, Via dell\u2019Universit\u00e0 50, I-47522, Cesena, Italy, --- Select a Country ---","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080851662","display_name":"Antonella Carbonaro","orcid":"https://orcid.org/0000-0002-3890-4852"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonella Carbonaro","raw_affiliation_strings":["Department of Computer Science and Engineering \u2013 DISI, University of Bologna, Via dell\u2019Universit\u00e0 50, I-47522, Cesena, Italy, --- Select a Country ---"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering \u2013 DISI, University of Bologna, Via dell\u2019Universit\u00e0 50, I-47522, Cesena, Italy, --- Select a Country ---","institution_ids":["https://openalex.org/I9360294"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030361899"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":null,"apc_paid":null,"fwci":2.2535,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.90356448,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9491000175476074,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9491000175476074,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9031999707221985,"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":0.7218682765960693},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5762678980827332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.551896870136261},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41823136806488037},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4164079427719116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7218682765960693},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5762678980827332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.551896870136261},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41823136806488037},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4164079427719116}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.5220/0009892001210132","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009892001210132","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.unibo.it:11585/773140","is_oa":false,"landing_page_url":"http://hdl.handle.net/11585/773140","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:cris.unibo.it:11585/778824","is_oa":true,"landing_page_url":"https://hdl.handle.net/11585/778824","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.5220/0009892001210132","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0009892001210132","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Data Science, Technology and Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322874","display_name":"Universit\u00e0 degli Studi di Pavia","ror":"https://ror.org/00s6t1f81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W66373487","https://openalex.org/W1813925448","https://openalex.org/W1932198206","https://openalex.org/W2050644191","https://openalex.org/W2052516677","https://openalex.org/W2117756735","https://openalex.org/W2125283600","https://openalex.org/W2158997610","https://openalex.org/W2163271987","https://openalex.org/W2180612164","https://openalex.org/W2187089797","https://openalex.org/W2223216628","https://openalex.org/W2293570855","https://openalex.org/W2294893199","https://openalex.org/W2493916176","https://openalex.org/W2516071633","https://openalex.org/W2543927648","https://openalex.org/W2657631929","https://openalex.org/W2768579653","https://openalex.org/W2786332409","https://openalex.org/W2896457183","https://openalex.org/W2912581782","https://openalex.org/W2921248524","https://openalex.org/W2937742783","https://openalex.org/W2958992432","https://openalex.org/W2962863107","https://openalex.org/W2963969878","https://openalex.org/W2970641574","https://openalex.org/W2996428491","https://openalex.org/W4230474111","https://openalex.org/W4241937568","https://openalex.org/W4252434862"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W3192589309"],"abstract_inverted_index":{"Though":[0],"the":[1,10,14,50,61,90,98,112,115,119,133,139,148],"strong":[2,99],"evolution":[3],"of":[4,16,52,75,80,88,101,114,141],"knowledge":[5],"learning":[6],"models":[7],"has":[8],"characterized":[9],"last":[11],"few":[12],"years,":[13],"explanation":[15],"a":[17,28,72,128],"phenomenon":[18],"from":[19,147],"text":[20,24,77],"documents,":[21],"called":[22],"descriptive":[23,76],"mining,":[25,78],"is":[26],"still":[27],"difficult":[29],"and":[30,44,63,87,143,162],"poorly":[31],"addressed":[32],"problem.":[33],"The":[34],"need":[35],"to":[36,124],"work":[37],"with":[38],"unlabeled":[39,149],"data,":[40],"explainable":[41],"approaches,":[42],"unsupervised":[43,85],"domain":[45],"independent":[46],"solutions":[47],"further":[48],"increases":[49],"complexity":[51],"this":[53,68],"task.":[54],"Currently,":[55],"existing":[56],"techniques":[57],"only":[58],"partially":[59],"solve":[60],"problem":[62],"have":[64],"several":[65],"limitations.":[66],"In":[67],"paper,":[69],"we":[70,110,152],"propose":[71],"novel":[73],"methodology":[74,134],"capable":[79],"offering":[81],"accurate":[82],"explanations":[83,137],"in":[84],"settings":[86],"quantifying":[89],"results":[91],"based":[92],"on":[93,104],"their":[94],"statistical":[95],"significance.":[96],"Considering":[97],"growth":[100],"patient":[102],"communities":[103],"social":[105,121],"platforms":[106],"such":[107],"as":[108,127],"Facebook,":[109],"demonstrate":[111],"effectiveness":[113],"contribution":[116],"by":[117],"taking":[118],"short":[120],"posts":[122],"related":[123],"Esophageal":[125],"Achalasia":[126],"typical":[129],"case":[130],"study.":[131],"Specifically,":[132],"produces":[135],"useful":[136],"about":[138],"experiences":[140],"patients":[142],"caregivers.":[144],"Starting":[145],"directly":[146],"patient\u2019s":[150],"posts,":[151],"derive":[153],"correct":[154],"scientific":[155],"correlations":[156],"among":[157],"symptoms,":[158],"drugs,":[159],"treatments,":[160],"foods":[161],"so":[163],"on.":[164]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2020-07-23T00:00:00"}