{"id":"https://openalex.org/W2425973910","doi":"https://doi.org/10.1109/isda.2015.7489180","title":"SAID: A new stemmer algorithm to indexing unstructured Document","display_name":"SAID: A new stemmer algorithm to indexing unstructured Document","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2425973910","doi":"https://doi.org/10.1109/isda.2015.7489180","mag":"2425973910"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2015.7489180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2015.7489180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)","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/A5025017712","display_name":"Kabil Boukhari","orcid":null},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Kabil Boukhari","raw_affiliation_strings":["Department of computer sciences, University of Monastir, Tunisia"],"affiliations":[{"raw_affiliation_string":"Department of computer sciences, University of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049091245","display_name":"Mohamed Nazih Omri","orcid":"https://orcid.org/0000-0001-7803-0179"},"institutions":[{"id":"https://openalex.org/I166928557","display_name":"University of Monastir","ror":"https://ror.org/00nhtcg76","country_code":"TN","type":"education","lineage":["https://openalex.org/I166928557"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Nazih Omri","raw_affiliation_strings":["Department of computer sciences, University of Monastir, Tunisia"],"affiliations":[{"raw_affiliation_string":"Department of computer sciences, University of Monastir, Tunisia","institution_ids":["https://openalex.org/I166928557"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025017712"],"corresponding_institution_ids":["https://openalex.org/I166928557"],"apc_list":null,"apc_paid":null,"fwci":0.5523,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76732773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"4","issue":null,"first_page":"59","last_page":"63"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9977999925613403,"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"}},{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9965000152587891,"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/search-engine-indexing","display_name":"Search engine indexing","score":0.8835110664367676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8020627498626709},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.633588969707489},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4974382221698761},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.48193955421447754},{"id":"https://openalex.org/keywords/automatic-indexing","display_name":"Automatic indexing","score":0.4758957624435425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4657272696495056},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36176255345344543},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33970698714256287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08855417370796204}],"concepts":[{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8835110664367676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8020627498626709},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.633588969707489},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4974382221698761},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.48193955421447754},{"id":"https://openalex.org/C2778330532","wikidata":"https://www.wikidata.org/wiki/Q4826577","display_name":"Automatic indexing","level":3,"score":0.4758957624435425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4657272696495056},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36176255345344543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33970698714256287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08855417370796204},{"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:10.1109/isda.2015.7489180","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2015.7489180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 15th International Conference on Intelligent Systems Design and Applications (ISDA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W26591655","https://openalex.org/W53515761","https://openalex.org/W165943901","https://openalex.org/W1643179436","https://openalex.org/W1990523973","https://openalex.org/W2004157452","https://openalex.org/W2028009334","https://openalex.org/W2044719955","https://openalex.org/W2058200372","https://openalex.org/W2061396122","https://openalex.org/W2065440359","https://openalex.org/W2089960290","https://openalex.org/W2098162425","https://openalex.org/W2137769054","https://openalex.org/W2138958299","https://openalex.org/W2315432931","https://openalex.org/W2338896872","https://openalex.org/W2407061965","https://openalex.org/W4206005995","https://openalex.org/W4213221013","https://openalex.org/W4239147722","https://openalex.org/W6601052559","https://openalex.org/W6636597860","https://openalex.org/W6714316244"],"related_works":["https://openalex.org/W204619012","https://openalex.org/W2398073981","https://openalex.org/W2051392313","https://openalex.org/W4247874641","https://openalex.org/W2081057833","https://openalex.org/W2025451713","https://openalex.org/W2062327384","https://openalex.org/W2168066506","https://openalex.org/W2008087111","https://openalex.org/W2044723465"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3],"propose":[4],"a":[5,95],"new":[6],"stemmer":[7],"algorithm":[8,25,68,93,109],"to":[9,111],"indexing":[10],"unstructured":[11,22],"Document.":[12],"It":[13],"can":[14],"detect":[15],"the":[16,32,36,42,45,48,51,61,70,78,84,101,104],"most":[17],"relevant":[18],"words":[19,40,52],"in":[20,64,114],"an":[21],"document.":[23],"This":[24],"is":[26],"based":[27],"on":[28,94],"two":[29],"main":[30],"modules:":[31],"first":[33],"module":[34],"ensures":[35],"processing":[37],"of":[38,47,50,74,80,86,98,107],"compound":[39,87],"and":[41,72,76,100],"second":[43],"allows":[44,69],"detection":[46,71],"endings":[49],"that":[53],"have":[54,90],"not":[55],"been":[56],"taken":[57],"into":[58],"consideration":[59],"by":[60,82],"approaches":[62],"presented":[63,113],"literature.":[65],"The":[66],"proposed":[67],"removal":[73],"suffixes":[75,81,85],"enriches":[77],"basis":[79,97],"eliminating":[83],"words.":[88],"We":[89],"experienced":[91],"our":[92,108],"standard":[96],"terms":[99],"results":[102],"show":[103],"remarkable":[105],"effectiveness":[106],"compared":[110],"others":[112],"related":[115],"works.":[116]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
