{"id":"https://openalex.org/W4387735281","doi":"https://doi.org/10.1109/ic3ina60834.2023.10285786","title":"Top Layer Selection in Pretrained Models for Sentiment Analysis on Biodiversity Tweets in Bahasa Indonesia","display_name":"Top Layer Selection in Pretrained Models for Sentiment Analysis on Biodiversity Tweets in Bahasa Indonesia","publication_year":2023,"publication_date":"2023-10-04","ids":{"openalex":"https://openalex.org/W4387735281","doi":"https://doi.org/10.1109/ic3ina60834.2023.10285786"},"language":"en","primary_location":{"id":"doi:10.1109/ic3ina60834.2023.10285786","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3ina60834.2023.10285786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5037372132","display_name":"Agung Santosa","orcid":"https://orcid.org/0000-0002-9827-4397"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Agung Santosa","raw_affiliation_strings":["National Agency for Research and Innovation,Research Center for Data and Information Sciences,Jakarta,Indonesia","Research Center for Data and Information Sciences, National Agency for Research and Innovation, Jakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"National Agency for Research and Innovation,Research Center for Data and Information Sciences,Jakarta,Indonesia","institution_ids":[]},{"raw_affiliation_string":"Research Center for Data and Information Sciences, National Agency for Research and Innovation, Jakarta, Indonesia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025661955","display_name":"Asril Jarin","orcid":"https://orcid.org/0000-0001-8360-8166"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Asril Jarin","raw_affiliation_strings":["National Agency for Research and Innovation,Research Center for Data and Information Sciences,Jakarta,Indonesia","Research Center for Data and Information Sciences, National Agency for Research and Innovation, Jakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"National Agency for Research and Innovation,Research Center for Data and Information Sciences,Jakarta,Indonesia","institution_ids":[]},{"raw_affiliation_string":"Research Center for Data and Information Sciences, National Agency for Research and Innovation, Jakarta, Indonesia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092773209","display_name":"Tri Sampurno","orcid":"https://orcid.org/0009-0009-5274-3483"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tri Sampurno","raw_affiliation_strings":["National Agency for Research and Innovation,Research Center for Data and Information Sciences,Jakarta,Indonesia","Research Center for Data and Information Sciences, National Agency for Research and Innovation, Jakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"National Agency for Research and Innovation,Research Center for Data and Information Sciences,Jakarta,Indonesia","institution_ids":[]},{"raw_affiliation_string":"Research Center for Data and Information Sciences, National Agency for Research and Innovation, Jakarta, Indonesia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018371679","display_name":"Siska Pebiana","orcid":"https://orcid.org/0009-0006-7473-7541"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siska Pebiana","raw_affiliation_strings":["National Agency for Research and Innovation,Research Center for Data and Information Sciences,Jakarta,Indonesia","Research Center for Data and Information Sciences, National Agency for Research and Innovation, Jakarta, Indonesia"],"affiliations":[{"raw_affiliation_string":"National Agency for Research and Innovation,Research Center for Data and Information Sciences,Jakarta,Indonesia","institution_ids":[]},{"raw_affiliation_string":"Research Center for Data and Information Sciences, National Agency for Research and Innovation, Jakarta, Indonesia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037372132"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13281199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"149","last_page":"154"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9836999773979187,"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":0.9836999773979187,"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/T13538","display_name":"Linguistics and Language Analysis","score":0.9616000056266785,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14499","display_name":"Livestock Farming and Management","score":0.9111999869346619,"subfield":{"id":"https://openalex.org/subfields/1102","display_name":"Agronomy and Crop Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.7496997117996216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697640061378479},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6588295698165894},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5951709151268005},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5703988671302795},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5431382656097412},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.509928822517395},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.4838749170303345},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.4700077176094055},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.4331486225128174},{"id":"https://openalex.org/keywords/performance-metric","display_name":"Performance metric","score":0.4111621379852295},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4097975492477417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.400906503200531},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0742180347442627}],"concepts":[{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.7496997117996216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697640061378479},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6588295698165894},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5951709151268005},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5703988671302795},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5431382656097412},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.509928822517395},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.4838749170303345},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.4700077176094055},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.4331486225128174},{"id":"https://openalex.org/C2780898871","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance metric","level":2,"score":0.4111621379852295},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4097975492477417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.400906503200531},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0742180347442627},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3ina60834.2023.10285786","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ic3ina60834.2023.10285786","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Computer, Control, Informatics and its Applications (IC3INA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320317364","display_name":"BD","ror":"https://ror.org/048vrgr14"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2170505850","https://openalex.org/W2896457183","https://openalex.org/W2965373594","https://openalex.org/W2980708516","https://openalex.org/W2993843842","https://openalex.org/W2996428491","https://openalex.org/W3107770647","https://openalex.org/W3128513378","https://openalex.org/W3199243620","https://openalex.org/W4200490163","https://openalex.org/W4210248974","https://openalex.org/W4255375128","https://openalex.org/W4287824654","https://openalex.org/W4288089799","https://openalex.org/W4291493984","https://openalex.org/W4293071540","https://openalex.org/W4313203238","https://openalex.org/W4322577873","https://openalex.org/W4380903951","https://openalex.org/W6755207826","https://openalex.org/W6766673545","https://openalex.org/W6768021236","https://openalex.org/W6769627184","https://openalex.org/W6771917389"],"related_works":["https://openalex.org/W4384112194","https://openalex.org/W2783354812","https://openalex.org/W4312958259","https://openalex.org/W2103009189","https://openalex.org/W4390813131","https://openalex.org/W2349383066","https://openalex.org/W4308259661","https://openalex.org/W4328132048","https://openalex.org/W1969901537","https://openalex.org/W2376202349"],"abstract_inverted_index":{"This":[0,122],"study":[1],"investigates":[2],"sentiment":[3,86,132],"analysis":[4,87,133],"on":[5],"Bahasa":[6,135],"Indonesia":[7],"biodiversity-related":[8],"tweets":[9],"using":[10,152],"the":[11,19,29,64,76,81,113,118,144],"pre-trained":[12,77,129,154],"language":[13],"model":[14,31,79],"IndoBERTweet.":[15],"The":[16,58,67],"research":[17],"explores":[18],"influence":[20],"of":[21,25,75,93,146],"including":[22,50],"different":[23],"numbers":[24],"top":[26,52,73],"layers":[27,48,74],"from":[28,45,95],"IndoBERTweet":[30,78],"during":[32,149],"fine-tuning.":[33],"To":[34],"ensure":[35],"robustness,":[36],"we":[37],"conducted":[38],"50":[39,96],"experiments":[40],"for":[41,85,131,138],"each":[42],"configuration,":[43],"ranging":[44],"excluding":[46],"all":[47],"to":[49],"five":[51],"layers,":[53],"utilizing":[54],"various":[55,114],"random":[56],"seeds.":[57],"F1":[59,91],"score":[60,92],"is":[61],"employed":[62],"as":[63],"performance":[65,84,120],"metric.":[66],"results":[68],"reveal":[69],"that":[70],"incorporating":[71],"3":[72],"produces":[80],"most":[82],"optimal":[83],"with":[88],"an":[89],"average":[90],"0.7782":[94],"experiments.":[97],"Furthermore,":[98],"a":[99,105,153],"violin":[100],"plot":[101],"visual":[102],"inspection":[103],"and":[104],"Kolmogorov-Smirnov":[106],"test":[107],"confirm":[108],"statistically":[109],"significant":[110],"differences":[111],"among":[112],"layer":[115],"configurations,":[116],"supporting":[117],"observed":[119],"disparities.":[121],"work":[123],"offers":[124],"valuable":[125],"insights":[126],"into":[127],"leveraging":[128],"models":[130],"in":[134],"Indonesia,":[136],"particularly":[137],"biodiversity":[139],"tweets.":[140],"Additionally,":[141],"it":[142],"underscores":[143],"importance":[145],"top-layer":[147],"selection":[148],"fine-tuning":[150],"when":[151],"model.":[155]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
