{"id":"https://openalex.org/W2914532416","doi":"https://doi.org/10.1109/ic3ina.2018.8629522","title":"Text Classification for Sentiment Prediction of Social Media Dataset using Multichannel Convolution Neural Network","display_name":"Text Classification for Sentiment Prediction of Social Media Dataset using Multichannel Convolution Neural Network","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2914532416","doi":"https://doi.org/10.1109/ic3ina.2018.8629522","mag":"2914532416"},"language":"en","primary_location":{"id":"doi:10.1109/ic3ina.2018.8629522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ina.2018.8629522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","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/A5063948517","display_name":"Devi Munandar","orcid":"https://orcid.org/0000-0002-5766-1139"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":true,"raw_author_name":"Devi Munandar","raw_affiliation_strings":["Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045351057","display_name":"Andria Arisal","orcid":"https://orcid.org/0000-0002-9154-434X"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Andria Arisal","raw_affiliation_strings":["Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080323690","display_name":"Dianadewi Riswantini","orcid":"https://orcid.org/0000-0001-9968-5924"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Dianadewi Riswantini","raw_affiliation_strings":["Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047105498","display_name":"Andri Fachrur Rozie","orcid":"https://orcid.org/0000-0003-3378-5580"},"institutions":[{"id":"https://openalex.org/I19128659","display_name":"Indonesian Institute of Sciences","ror":"https://ror.org/03d7c1451","country_code":"ID","type":"facility","lineage":["https://openalex.org/I19128659"]}],"countries":["ID"],"is_corresponding":false,"raw_author_name":"Andri Fachrur Rozie","raw_affiliation_strings":["Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia"],"affiliations":[{"raw_affiliation_string":"Research Center for Informatics, Indonesian Institute of Sciences, Bandung, Indonesia","institution_ids":["https://openalex.org/I19128659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063948517"],"corresponding_institution_ids":["https://openalex.org/I19128659"],"apc_list":null,"apc_paid":null,"fwci":0.6515,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7798326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"104","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9970999956130981,"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/T10028","display_name":"Topic Modeling","score":0.9929999709129333,"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":0.7963932752609253},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.6688827872276306},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6663801670074463},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6411654949188232},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5864798426628113},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.577477216720581},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5345603227615356},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4788391590118408},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4780198335647583},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4644626975059509},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.44658851623535156},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.4435780644416809},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44004225730895996},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4336371421813965},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39073169231414795},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3455955982208252},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3368334174156189},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3217296600341797},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3202667236328125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09910529851913452},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0771966278553009}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7963932752609253},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.6688827872276306},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6663801670074463},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6411654949188232},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5864798426628113},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.577477216720581},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5345603227615356},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4788391590118408},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4780198335647583},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4644626975059509},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.44658851623535156},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.4435780644416809},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44004225730895996},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4336371421813965},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39073169231414795},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3455955982208252},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3368334174156189},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3217296600341797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3202667236328125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09910529851913452},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0771966278553009},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3ina.2018.8629522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3ina.2018.8629522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1614298861","https://openalex.org/W1832693441","https://openalex.org/W2250539671","https://openalex.org/W2515218431","https://openalex.org/W2746802549","https://openalex.org/W2765126493","https://openalex.org/W2784023819","https://openalex.org/W2793955938","https://openalex.org/W2796942168","https://openalex.org/W2806402810","https://openalex.org/W6636510571"],"related_works":["https://openalex.org/W4386858688","https://openalex.org/W3034421924","https://openalex.org/W2982536526","https://openalex.org/W3186997021","https://openalex.org/W2997097677","https://openalex.org/W4200618314","https://openalex.org/W4380302312","https://openalex.org/W4308088897","https://openalex.org/W4385338604","https://openalex.org/W4286432911"],"abstract_inverted_index":{"Text":[0],"classification":[1],"of":[2,39,99,137],"social":[3],"media":[4],"documents":[5,84],"requires":[6],"a":[7,11,37,75],"specified":[8],"model":[9,64,73,121,138],"for":[10,47],"particular":[12],"dataset.":[13],"We":[14,53],"investigated":[15],"the":[16,25,30,48,55,68,83],"public":[17],"opinion":[18],"and":[19,50,104,117,128,134],"sentiment":[20,31],"from":[21,67],"Indonesian":[22],"twitter":[23],"toward":[24],"employment":[26,45],"problem.":[27],"To":[28],"predict":[29],"about":[32],"this":[33],"topic,":[34],"we":[35],"collected":[36,56],"total":[38],"75,126":[40],"tweets":[41,57],"which":[42,65],"correlate":[43],"with":[44,110,122],"conversation":[46],"training":[49,133],"testing":[51,135],"process.":[52],"analyzed":[54],"by":[58,91],"applying":[59],"convolution":[60],"neural":[61],"networks":[62],"(CNN)":[63],"expanded":[66],"standard":[69],"one-dimensional":[70],"deep":[71],"learning":[72],"to":[74],"multichannel":[76,123],"model.":[77],"Applying":[78],"multiple":[79],"parallel":[80],"CNN":[81,89,120],"processes,":[82],"were":[85],"processed":[86],"using":[87],"different":[88,106],"topologies":[90],"varying":[92],"word":[93],"embedding":[94],"dimension,":[95],"kernel":[96],"size,":[97],"number":[98],"hidden":[100],"layers":[101],"or":[102],"nodes,":[103],"also":[105],"n-grams.":[107],"Experiment":[108],"results":[109],"three-dimension":[111],"channel":[112],"have":[113],"0.0172":[114],"loss":[115,130],"error":[116,131],"0.9917":[118],"accuracy.":[119],"configuration":[124],"provides":[125],"maximum":[126],"accuracy":[127],"small":[129],"in":[132],"process":[136],"development.":[139]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
