{"id":"https://openalex.org/W7225533123","doi":null,"title":"Development and testing of a temporal topic detection algorithm applied for enhancing e-learning in high-school and college students","display_name":"Development and testing of a temporal topic detection algorithm applied for enhancing e-learning in high-school and college students","publication_year":2025,"publication_date":"2025-02-10","ids":{"openalex":"https://openalex.org/W7225533123"},"language":"en","primary_location":{"id":"pmh:oai:repositorio.tec.mx:11285/703359","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11285/703359","pdf_url":"https://repositorio.tec.mx/bitstreams/ec3f14bb-c5b5-4093-8a09-34ca69bcf906/download","source":{"id":"https://openalex.org/S4306402383","display_name":"Repositorio del Tecnol\u00f3gico de Monterrey (Tecnol\u00f3gico de Monterrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98461037","host_organization_name":"Tecnol\u00f3gico de Monterrey","host_organization_lineage":["https://openalex.org/I98461037"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Tesis de maestr\u00eda"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repositorio.tec.mx/bitstreams/ec3f14bb-c5b5-4093-8a09-34ca69bcf906/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5161185780","display_name":"Oscar Yllan Garza","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Yllan Garza, Oscar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5161185780"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9434000253677368,"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/T10028","display_name":"Topic Modeling","score":0.9434000253677368,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.028599999845027924,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.004900000058114529,"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/topic-modeling","display_name":"topic modeling","score":0.6869999766349792},{"id":"https://openalex.org/keywords/e-learning","display_name":"online learning","score":0.9369999766349792},{"id":"https://openalex.org/keywords/secondary-school-students","display_name":"high school students","score":0.8240000009536743},{"id":"https://openalex.org/keywords/college-students","display_name":"university students","score":0.9879999756813049},{"id":"https://openalex.org/keywords/learning-analytics","display_name":"learning analytics","score":0.5339999794960022},{"id":"https://openalex.org/keywords/algorithm-development","display_name":"algorithm development","score":0.6269999742507935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6233999729156494},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41519999504089355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41179999709129333},{"id":"https://openalex.org/C2776542497","wikidata":"https://www.wikidata.org/wiki/Q5266672","display_name":"Development (topology)","level":2,"score":0.3898000121116638},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2971999943256378},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28360000252723694},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.24320000410079956},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.2371000051498413},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.23680000007152557}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:repositorio.tec.mx:11285/703359","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11285/703359","pdf_url":"https://repositorio.tec.mx/bitstreams/ec3f14bb-c5b5-4093-8a09-34ca69bcf906/download","source":{"id":"https://openalex.org/S4306402383","display_name":"Repositorio del Tecnol\u00f3gico de Monterrey (Tecnol\u00f3gico de Monterrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98461037","host_organization_name":"Tecnol\u00f3gico de Monterrey","host_organization_lineage":["https://openalex.org/I98461037"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Tesis de maestr\u00eda"}],"best_oa_location":{"id":"pmh:oai:repositorio.tec.mx:11285/703359","doi":null,"is_oa":true,"landing_page_url":"https://hdl.handle.net/11285/703359","pdf_url":"https://repositorio.tec.mx/bitstreams/ec3f14bb-c5b5-4093-8a09-34ca69bcf906/download","source":{"id":"https://openalex.org/S4306402383","display_name":"Repositorio del Tecnol\u00f3gico de Monterrey (Tecnol\u00f3gico de Monterrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I98461037","host_organization_name":"Tecnol\u00f3gico de Monterrey","host_organization_lineage":["https://openalex.org/I98461037"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Tesis de maestr\u00eda"},"sustainable_development_goals":[{"score":0.9235000014305115,"id":"https://metadata.un.org/sdg/4","display_name":"Quality education"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323037","display_name":"Instituto Tecnol\u00f3gico y de Estudios Superiores de Monterrey","ror":"https://ror.org/03ayjn504"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225533123.pdf","grobid_xml":"https://content.openalex.org/works/W7225533123.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W2492847349","https://openalex.org/W2963356835","https://openalex.org/W3159754263","https://openalex.org/W3175502681","https://openalex.org/W4229652269","https://openalex.org/W4286224767","https://openalex.org/W4313680233","https://openalex.org/W4372266517","https://openalex.org/W4378174011","https://openalex.org/W4383860168","https://openalex.org/W4385571341","https://openalex.org/W4388118934","https://openalex.org/W4389984066","https://openalex.org/W4391095093","https://openalex.org/W4392445608","https://openalex.org/W4392637186","https://openalex.org/W4392729432","https://openalex.org/W4392737179","https://openalex.org/W4393247609","https://openalex.org/W4393318705","https://openalex.org/W4393905540","https://openalex.org/W4396778901","https://openalex.org/W4401042718","https://openalex.org/W4401043789","https://openalex.org/W4401200977","https://openalex.org/W4402500749","https://openalex.org/W4402976506","https://openalex.org/W4403578794","https://openalex.org/W4403786514","https://openalex.org/W4404601423","https://openalex.org/W4404783714","https://openalex.org/W4406530430","https://openalex.org/W4409591253","https://openalex.org/W4410027467","https://openalex.org/W4410761886","https://openalex.org/W4412886806","https://openalex.org/W4413157918","https://openalex.org/W4415708620","https://openalex.org/W4415798317","https://openalex.org/W4415800400","https://openalex.org/W6910928327","https://openalex.org/W7088041907","https://openalex.org/W7131785353"],"related_works":["https://openalex.org/W6922650585","https://openalex.org/W146411707","https://openalex.org/W3047596823","https://openalex.org/W7137681630","https://openalex.org/W4231501839","https://openalex.org/W7198061202","https://openalex.org/W2398107648","https://openalex.org/W2610471979","https://openalex.org/W2966565408","https://openalex.org/W6941233072"],"abstract_inverted_index":{"This":[0,206,260],"thesis":[1],"presents":[2],"a":[3,74,208,218,253],"comprehensive":[4],"study":[5],"on":[6,33,155],"using":[7,103,114,187],"advanced":[8],"software":[9],"tools":[10,66,268],"for":[11,40,106,168,256,276],"audio":[12],"tran":[13,110],"scription":[14],"from":[15,46,73,172],"video":[16,28,47,204,257,280],"files,":[17],"combined":[18],"with":[19,58,77,269],"innovative":[20],"approaches":[21],"to":[22,69,92,160,195,224],"topic":[23,107,184,248],"segmentation":[24,108,147,185],"and":[25,44,61,99,119,125,137,191,200,211,220,231,236],"comprehension":[26],"within":[27,203,250],"content.":[29,205],"The":[30,83,179],"focus":[31],"is":[32],"designing":[34],"two":[35],"distinct":[36],"framework":[37,50,85],"ar":[38],"chitectures":[39],"performing":[41],"Topic":[42],"Segmentation":[43],"Comprehension":[45],"transcripts.":[48],"Thefirst":[49],"explores":[51],"the":[52,87,123,126,132,146,162,166,169,173,177,226,245,263,274],"use":[53,88],"of":[54,80,89,116,122,134,164,228,247,265],"Large":[55],"Language":[56],"Models":[57],"YouTube":[59,78],"APIs":[60,121],"Streamlit":[62],"library":[63],"as":[64],"other":[65],"in":[67,109,198,244,279],"order":[68],"analyze":[70],"every":[71],"link":[72],"file":[75],"filled":[76],"links":[79],"educational":[81,170],"videos":[82,171],"second":[84],"leverages":[86],"Multi-RAG":[90],"Agents":[91],"explore":[93],"how":[94],"it":[95,157],"can":[96],"be":[97],"used":[98],"implemnted":[100],"different":[101,104],"agents":[102],"LLMs":[105,136],"scribed":[111],"texts.":[112],"By":[113],"variations":[115],"Claude":[117],"3.5":[118],"GPT-4":[120],"models":[124],"Lang":[127],"Chain":[128],"library,":[129],"which":[130],"enables":[131],"integration":[133],"multiple":[135],"multi":[138],"agent":[139],"systems,":[140],"this":[141,238],"approach":[142],"optimizes":[143],"responses,":[144],"enhancing":[145],"accuracy.":[148],"Each":[149],"architecture\u2019s":[150],"performance":[151],"was":[152,158],"evaluated":[153],"based":[154],"if":[156],"able":[159],"achieve":[161],"results":[163],"getting":[165],"recommendations":[167],"search":[174],"input":[175],"by":[176,217],"user.":[178],"transcribed":[180],"texts":[181],"undergo":[182],"rigorous":[183],"analysis,":[186],"state":[188],"of-the-art":[189],"NLP":[190,271],"LLM":[192],"techniques,":[193,272],"leading":[194],"significant":[196],"improvements":[197],"identifying":[199],"categorizing":[201],"topics":[202],"facilitates":[207],"more":[209],"nuanced":[210],"detailed":[212],"content":[213,229,258,281],"analysis":[214],"process,":[215],"supported":[216],"clean":[219],"scalable":[221],"infrastructure":[222],"designed":[223],"meet":[225],"needs":[227],"analysts":[230],"researchers.":[232],"Through":[233],"extensive":[234],"testing":[235],"validation,":[237],"system":[239],"demonstrates":[240],"substantial":[241],"improve":[242],"ments":[243],"precision":[246],"searches":[249],"videos,":[251],"establishing":[252],"new":[254],"benchmark":[255],"analysis.":[259,282],"work":[261],"highlights":[262],"potential":[264],"integrating":[266],"transcription":[267],"cutting-edge":[270],"paving":[273],"way":[275],"enhanced":[277],"insights":[278]},"counts_by_year":[],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2026-11-08T00:00:00"}