{"id":"https://openalex.org/W2099366618","doi":"https://doi.org/10.1109/fskd.2011.6019717","title":"Probability adjustment Na\u00efve Bayes algorithm based on nondomain-specific sentiment and evaluation word for domain-transfer sentiment analysis","display_name":"Probability adjustment Na\u00efve Bayes algorithm based on nondomain-specific sentiment and evaluation word for domain-transfer sentiment analysis","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2099366618","doi":"https://doi.org/10.1109/fskd.2011.6019717","mag":"2099366618"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6019717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"},"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/A5102729778","display_name":"Wen Fan","orcid":"https://orcid.org/0000-0002-1660-7910"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Fan","raw_affiliation_strings":["School of Computer Science, Communication University of China, Beijing, P.R. China","School of Computer science, Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Communication University of China, Beijing, P.R. China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"School of Computer science, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100507349","display_name":"Shutao Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Sun","raw_affiliation_strings":["School of Computer Science, Communication University of China, Beijing, P.R. China","School of Computer science, Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Communication University of China, Beijing, P.R. China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"School of Computer science, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008587259","display_name":"Guohui Song","orcid":"https://orcid.org/0000-0002-0599-3916"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guohui Song","raw_affiliation_strings":["School of Computer Science, Communication University of China, Beijing, P.R. China","School of Computer science, Communication University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Communication University of China, Beijing, P.R. China","institution_ids":["https://openalex.org/I75689368"]},{"raw_affiliation_string":"School of Computer science, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2009","issue":null,"first_page":"1043","last_page":"1046"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9984999895095825,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9897000193595886,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.7580958604812622},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.730685293674469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7143626809120178},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6386341452598572},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6041594743728638},{"id":"https://openalex.org/keywords/pointwise","display_name":"Pointwise","score":0.5370287895202637},{"id":"https://openalex.org/keywords/pointwise-mutual-information","display_name":"Pointwise mutual information","score":0.49026110768318176},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.46879562735557556},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.45360809564590454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44678863883018494},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4357399642467499},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4317770004272461},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.29911839962005615},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.2352089285850525},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22450822591781616},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.19301265478134155}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.7580958604812622},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.730685293674469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7143626809120178},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6386341452598572},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6041594743728638},{"id":"https://openalex.org/C2777984123","wikidata":"https://www.wikidata.org/wiki/Q9248237","display_name":"Pointwise","level":2,"score":0.5370287895202637},{"id":"https://openalex.org/C7797323","wikidata":"https://www.wikidata.org/wiki/Q3798612","display_name":"Pointwise mutual information","level":3,"score":0.49026110768318176},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.46879562735557556},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.45360809564590454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44678863883018494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4357399642467499},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4317770004272461},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.29911839962005615},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.2352089285850525},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22450822591781616},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.19301265478134155},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/fskd.2011.6019717","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019717","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W122553268","https://openalex.org/W1550206324","https://openalex.org/W1577417017","https://openalex.org/W1593045043","https://openalex.org/W2110278938","https://openalex.org/W2111362445","https://openalex.org/W2120623102","https://openalex.org/W2140256872","https://openalex.org/W2155328222","https://openalex.org/W2157052295","https://openalex.org/W2166706824","https://openalex.org/W3146306708","https://openalex.org/W6632865047","https://openalex.org/W6634531250","https://openalex.org/W6677069268","https://openalex.org/W6680877188"],"related_works":["https://openalex.org/W143502885","https://openalex.org/W42113618","https://openalex.org/W2103468410","https://openalex.org/W2480115405","https://openalex.org/W3197542402","https://openalex.org/W1856228368","https://openalex.org/W3021501837","https://openalex.org/W2537862391","https://openalex.org/W2417174640","https://openalex.org/W2127863960"],"abstract_inverted_index":{"In":[0],"the":[1,89],"research":[2],"of":[3,95,102],"sentiment":[4,46],"analysis,":[5],"some":[6],"supervised":[7],"learning":[8],"algorithms":[9],"play":[10],"an":[11],"important":[12],"role.":[13],"Among":[14],"them,":[15],"Na\u00efve":[16,34,61,114],"Bayes":[17,35,62,115],"is":[18],"often":[19,49],"used":[20],"in":[21,44,52,97],"engineering":[22],"application":[23],"due":[24],"to":[25,40,65,78,92],"its":[26],"low":[27],"computational":[28],"and":[29,82,86],"space":[30],"complexity.":[31],"While":[32],"traditional":[33,113],"algorithm":[36,63],"has":[37],"been":[38],"shown":[39],"perform":[41],"very":[42],"well":[43],"domain-specific":[45],"classification,":[47],"it":[48],"performs":[50],"badly":[51],"domain-transfer":[53],"problem.":[54,68],"So":[55],"we":[56],"propose":[57],"a":[58],"probability":[59,94],"adjust":[60,93],"(PANB)":[64],"solve":[66],"this":[67],"We":[69],"use":[70,88],"polarity":[71],"D-value":[72],"PointWise":[73],"Mutual":[74],"Information":[75],"(PDPMI)":[76],"method":[77],"obtain":[79],"nondomain-specific":[80],"words":[81],"their":[83],"weight":[84,90],"score,":[85],"then":[87],"score":[91],"feature":[96],"training":[98],"step.":[99],"The":[100],"result":[101],"experiment":[103],"shows":[104],"that":[105],"our":[106],"approach":[107],"usually":[108],"achieves":[109],"better":[110],"performance":[111],"than":[112],"classifier.":[116]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}