{"id":"https://openalex.org/W2783442281","doi":"https://doi.org/10.1109/bigdata.2017.8258003","title":"Mining pros and cons of actions from social media for decision support","display_name":"Mining pros and cons of actions from social media for decision support","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2783442281","doi":"https://doi.org/10.1109/bigdata.2017.8258003","mag":"2783442281"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2017.8258003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5051906335","display_name":"Ebad Ahmadzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ebad Ahmadzadeh","raw_affiliation_strings":["Dept. of Computer Sciences, Florida Institute of Technology, Melbourne, Florida"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Sciences, Florida Institute of Technology, Melbourne, Florida","institution_ids":["https://openalex.org/I106959904"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072267835","display_name":"Philip K. Chan","orcid":"https://orcid.org/0000-0002-3878-4205"},"institutions":[{"id":"https://openalex.org/I106959904","display_name":"Florida Institute of Technology","ror":"https://ror.org/04atsbb87","country_code":"US","type":"education","lineage":["https://openalex.org/I106959904"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philip K. Chan","raw_affiliation_strings":["Dept. of Computer Sciences, Florida Institute of Technology, Melbourne, Florida"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Sciences, Florida Institute of Technology, Melbourne, Florida","institution_ids":["https://openalex.org/I106959904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5051906335"],"corresponding_institution_ids":["https://openalex.org/I106959904"],"apc_list":null,"apc_paid":null,"fwci":0.39,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72364054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"22","issue":null,"first_page":"877","last_page":"882"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.996999979019165,"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/cons","display_name":"cons","score":0.953692615032196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7526513338088989},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6577651500701904},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5956303477287292},{"id":"https://openalex.org/keywords/adjective","display_name":"Adjective","score":0.5573675036430359},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5566601157188416},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5251890420913696},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5143221616744995},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.47190314531326294},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.45322877168655396},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40694460272789},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.39273229241371155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35601386427879333},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3201764225959778},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12658438086509705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12138697504997253}],"concepts":[{"id":"https://openalex.org/C37091826","wikidata":"https://www.wikidata.org/wiki/Q3687178","display_name":"cons","level":2,"score":0.953692615032196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526513338088989},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6577651500701904},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5956303477287292},{"id":"https://openalex.org/C2777683214","wikidata":"https://www.wikidata.org/wiki/Q34698","display_name":"Adjective","level":3,"score":0.5573675036430359},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5566601157188416},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5251890420913696},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5143221616744995},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.47190314531326294},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.45322877168655396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40694460272789},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39273229241371155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35601386427879333},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3201764225959778},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12658438086509705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12138697504997253},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2017.8258003","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2017.8258003","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W147952312","https://openalex.org/W1561908597","https://openalex.org/W1614298861","https://openalex.org/W1964002070","https://openalex.org/W1971220772","https://openalex.org/W2099813784","https://openalex.org/W2123442489","https://openalex.org/W2136814520","https://openalex.org/W2140887277","https://openalex.org/W2141161236","https://openalex.org/W2147152072","https://openalex.org/W2171468534","https://openalex.org/W2250539671","https://openalex.org/W2547490807","https://openalex.org/W2950577311","https://openalex.org/W4235505822","https://openalex.org/W6606032630","https://openalex.org/W6681340555"],"related_works":["https://openalex.org/W4241391178","https://openalex.org/W4281781887","https://openalex.org/W769482574","https://openalex.org/W1551026882","https://openalex.org/W3178425452","https://openalex.org/W2992833102","https://openalex.org/W4230644486","https://openalex.org/W2482050438","https://openalex.org/W2091920932","https://openalex.org/W2799298689"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,28,38],"mining":[3],"pros":[4,25,88],"and":[5,18,26,45,51,66,89],"cons":[6,27,90],"from":[7],"actions":[8,44],"has":[9],"applications":[10],"in":[11,70],"decision":[12],"support.":[13],"Given":[14],"an":[15,92],"action":[16,30],"query":[17],"social":[19],"media":[20],"data,":[21],"we":[22],"mine":[23],"related":[24],"the":[29,39,71],"via":[31],"extracting":[32],"significant":[33],"events":[34],"as":[35],"potential":[36],"outcomes":[37],"action.":[40],"We":[41,59],"propose":[42],"using":[43],"characteristics":[46],"to":[47,54,62,67],"select":[48,63],"relevant":[49],"messages,":[50],"adjective":[52],"vectors":[53],"establish":[55],"similarity":[56],"among":[57],"adjectives.":[58],"introduce":[60],"SS":[61],"event":[64],"headlines,":[65],"rank":[68],"them":[69],"final":[72],"pros-and-cons":[73],"table.":[74],"Our":[75],"results":[76],"on":[77],"two":[78],"data":[79],"sets":[80],"indicate":[81],"our":[82],"algorithm":[83],"can":[84],"generate":[85],"more":[86],"meaningful":[87],"than":[91],"existing":[93],"algorithm.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}