{"id":"https://openalex.org/W2886164016","doi":"https://doi.org/10.1109/icc.2018.8422104","title":"Sentiment Analysis of Marijuana Content via Facebook Emoji-Based Reactions","display_name":"Sentiment Analysis of Marijuana Content via Facebook Emoji-Based Reactions","publication_year":2018,"publication_date":"2018-05-01","ids":{"openalex":"https://openalex.org/W2886164016","doi":"https://doi.org/10.1109/icc.2018.8422104","mag":"2886164016"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2018.8422104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2018.8422104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications (ICC)","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/A5101990176","display_name":"Tuan Tran","orcid":"https://orcid.org/0000-0003-4735-7253"},"institutions":[{"id":"https://openalex.org/I15780179","display_name":"Sullivan University","ror":"https://ror.org/0575c3z81","country_code":"US","type":"education","lineage":["https://openalex.org/I15780179"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tuan Tran","raw_affiliation_strings":["Sullivan University, Louisville, KY, USA"],"affiliations":[{"raw_affiliation_string":"Sullivan University, Louisville, KY, USA","institution_ids":["https://openalex.org/I15780179"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004209770","display_name":"Dong Nguyen","orcid":"https://orcid.org/0000-0002-6062-3117"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Nguyen","raw_affiliation_strings":["Saolasoft Inc., Centennial, CO, USA"],"affiliations":[{"raw_affiliation_string":"Saolasoft Inc., Centennial, CO, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100784311","display_name":"Anh Tuan Nguyen","orcid":"https://orcid.org/0000-0003-3388-4298"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anh Nguyen","raw_affiliation_strings":["Saolasoft Inc., Centennial, CO, USA"],"affiliations":[{"raw_affiliation_string":"Saolasoft Inc., Centennial, CO, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036867323","display_name":"Erik Golen","orcid":"https://orcid.org/0000-0002-4514-5209"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Erik Golen","raw_affiliation_strings":["Rochester Institute of Technology, NY, USA"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101990176"],"corresponding_institution_ids":["https://openalex.org/I15780179"],"apc_list":null,"apc_paid":null,"fwci":1.466,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.86577363,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9994000196456909,"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":0.9994000196456909,"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/T13155","display_name":"Digital Communication and Language","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/emoji","display_name":"Emoji","score":0.9415339231491089},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7263846397399902},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5005691051483154},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.42008745670318604},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4013679027557373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3748255670070648},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3686453700065613},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.3504837155342102},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3270946145057678},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30699819326400757},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09009063243865967}],"concepts":[{"id":"https://openalex.org/C2779247141","wikidata":"https://www.wikidata.org/wiki/Q1049294","display_name":"Emoji","level":3,"score":0.9415339231491089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7263846397399902},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5005691051483154},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.42008745670318604},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4013679027557373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3748255670070648},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3686453700065613},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.3504837155342102},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3270946145057678},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30699819326400757},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09009063243865967},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2018.8422104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2018.8422104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1684832230","https://openalex.org/W1964613733","https://openalex.org/W2001488574","https://openalex.org/W2032069928","https://openalex.org/W2040467972","https://openalex.org/W2097484514","https://openalex.org/W2117594687","https://openalex.org/W2117960134","https://openalex.org/W2122522916","https://openalex.org/W2127519617","https://openalex.org/W2141161236","https://openalex.org/W2575737911","https://openalex.org/W2950046137","https://openalex.org/W2964262400","https://openalex.org/W6637433751","https://openalex.org/W6731557572"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3214231824","https://openalex.org/W4389567774","https://openalex.org/W4366957678","https://openalex.org/W4285115135","https://openalex.org/W2985411437","https://openalex.org/W2510851569","https://openalex.org/W3207908059","https://openalex.org/W4386566330","https://openalex.org/W4385386330"],"abstract_inverted_index":{"Utilizing":[0],"emojis":[1],"to":[2,26,33,82],"understand":[3],"sentiments":[4],"of":[5,68,86,117,128,167],"online":[6],"social":[7],"media":[8],"posts":[9,35,42,88],"has":[10],"received":[11],"much":[12,149],"attention":[13],"recently.":[14],"In":[15],"this":[16],"work,":[17],"we":[18,141],"perform":[19],"an":[20,179],"emoji-based":[21,93],"sentiment":[22,85,147],"analysis":[23,96,120],"and":[24,43,75,92,100,108,130],"classifier":[25],"gain":[27],"insights":[28,184],"into":[29,185],"users'":[30,46,186],"emotional":[31],"reactions":[32,47,131],"marijuana-related":[34,58],"on":[36],"Facebook.":[37],"We":[38,71],"collected":[39],"about":[40],"15,000":[41],"14":[44],"million":[45],"from":[48,89],"the":[49,77,84,87,103,124],"High":[50],"Times":[51],"Magazine":[52],"Facebook":[53],"page,":[54],"a":[55,62,114],"top":[56],"ranking":[57],"content":[59],"provider":[60],"with":[61,145,154],"longstanding":[63],"monthly":[64],"publication":[65],"for":[66,182],"advocation":[67],"cannabis":[69],"legalization.":[70],"developed":[72],"R":[73],"scripts":[74],"utilized":[76,177],"Google":[78],"Cloud":[79],"Prediction":[80],"API":[81],"estimate":[83],"posted":[90],"texts":[91],"reactions.":[94],"Our":[95,119,173],"revealed":[97],"that":[98,123,143,166,190],"\u201cLIKE\u201d":[99],"\u201cLOVE\u201d":[101],"are":[102,110,132],"most":[104],"frequently":[105],"used":[106,160,170],"reactions,":[107],"they":[109],"strongly":[111],"correlated":[112],"by":[113],"correlation":[115,125],"coefficient":[116],"0.82.":[118],"also":[121],"showed":[122],"between":[126],"number":[127],"comment":[129],"similar":[133],"across":[134],"all":[135],"emoji":[136],"types,":[137],"except":[138],"\u201cSAD\u201d.":[139],"Interestingly,":[140],"found":[142],"words":[144,153],"negative":[146],"occurred":[148],"more":[150,161],"often":[151],"than":[152,162],"positive":[155],"sentiment.":[156],"Particularly,":[157],"\u201cweed\u201d":[158],"was":[159,169],"800":[163],"times":[164],"while":[165],"\u201clove\u201d":[168],"310":[171],"times.":[172],"study":[174],"can":[175],"be":[176],"as":[178],"alternative":[180],"tool":[181],"revealing":[183],"opinions":[187],"towards":[188],"marijuana":[189],"may":[191],"potentially":[192],"benefit":[193],"public":[194],"health":[195],"surveillance":[196],"applications.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}