{"id":"https://openalex.org/W4387775155","doi":"https://doi.org/10.1007/978-981-99-7339-2_35","title":"The Impact of Preprocessing Techniques Towards Word Embedding","display_name":"The Impact of Preprocessing Techniques Towards Word Embedding","publication_year":2023,"publication_date":"2023-10-19","ids":{"openalex":"https://openalex.org/W4387775155","doi":"https://doi.org/10.1007/978-981-99-7339-2_35"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-99-7339-2_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-99-7339-2_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5041704618","display_name":"Mustazzihim Suhaidi","orcid":null},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mustazzihim Suhaidi","raw_affiliation_strings":["Universiti Kebangsaan Malaysia, UKM, IIR4.0, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Kebangsaan Malaysia, UKM, IIR4.0, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029682293","display_name":"Rabiah Abdul Kadir","orcid":"https://orcid.org/0000-0003-3897-0873"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Rabiah Abdul Kadir","raw_affiliation_strings":["Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia","Universiti Kebangsaan Malaysia, UKM, IIR4.0, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia","institution_ids":["https://openalex.org/I885383172"]},{"raw_affiliation_string":"Universiti Kebangsaan Malaysia, UKM, IIR4.0, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026382657","display_name":"Sabrina Tiun","orcid":"https://orcid.org/0000-0002-1134-973X"},"institutions":[{"id":"https://openalex.org/I885383172","display_name":"National University of Malaysia","ror":"https://ror.org/00bw8d226","country_code":"MY","type":"education","lineage":["https://openalex.org/I885383172"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Sabrina Tiun","raw_affiliation_strings":["Universiti Kebangsaan Malaysia, UKM, IIR4.0, Kuala Lumpur, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universiti Kebangsaan Malaysia, UKM, IIR4.0, Kuala Lumpur, Malaysia","institution_ids":["https://openalex.org/I885383172"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5041704618"],"corresponding_institution_ids":["https://openalex.org/I885383172"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"421","last_page":"429"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9958999752998352,"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":0.9958000183105469,"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":0.7368401885032654},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6503050327301025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.564264714717865},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5278384685516357},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5168302655220032},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.48467519879341125},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.48385727405548096},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47492629289627075},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4530687630176544},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.45222100615501404},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.44509702920913696},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42572879791259766},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.4247899055480957},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.41673359274864197},{"id":"https://openalex.org/keywords/text-processing","display_name":"Text processing","score":0.41073575615882874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3495067358016968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14464902877807617},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.13180291652679443},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07473945617675781}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7368401885032654},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6503050327301025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.564264714717865},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5278384685516357},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5168302655220032},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.48467519879341125},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.48385727405548096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47492629289627075},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4530687630176544},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.45222100615501404},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.44509702920913696},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42572879791259766},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.4247899055480957},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.41673359274864197},{"id":"https://openalex.org/C2779500292","wikidata":"https://www.wikidata.org/wiki/Q14802672","display_name":"Text processing","level":2,"score":0.41073575615882874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3495067358016968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14464902877807617},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.13180291652679443},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07473945617675781},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-99-7339-2_35","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-99-7339-2_35","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"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/W2792682186","https://openalex.org/W2980147550","https://openalex.org/W2981372033","https://openalex.org/W2997521053","https://openalex.org/W3125089377","https://openalex.org/W3125323336","https://openalex.org/W3129959505","https://openalex.org/W3182965314","https://openalex.org/W4220949780","https://openalex.org/W4285276702","https://openalex.org/W4312903819","https://openalex.org/W4316012700","https://openalex.org/W4361217691","https://openalex.org/W4377288147","https://openalex.org/W4384557663","https://openalex.org/W4384822157"],"related_works":["https://openalex.org/W2086889680","https://openalex.org/W4246466849","https://openalex.org/W3153505674","https://openalex.org/W2997511728","https://openalex.org/W4381745996","https://openalex.org/W2119349310","https://openalex.org/W2995276271","https://openalex.org/W4312478656","https://openalex.org/W3168126470","https://openalex.org/W4362721699"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
