Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386963239> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4386963239 endingPage "139" @default.
- W4386963239 startingPage "125" @default.
- W4386963239 abstract "This research paper delves into the realm of deep text clustering algorithms with the aim of enhancing the accuracy of document classification. In recent years, the fusion of deep learning techniques and text clustering has shown promise in extracting meaningful patterns and representations from textual data. This paper provides an in-depth exploration of various deep text clustering methodologies, assessing their efficacy in improving document classification accuracy. Delving into the core of deep text clustering, the paper investigates various feature representation techniques, ranging from conventional word embeddings to contextual embeddings furnished by BERT and GPT models.By critically reviewing and comparing these algorithms, we shed light on their strengths, limitations, and potential applications. Through this comprehensive study, we offer insights into the evolving landscape of document analysis and classification, driven by the power of deep text clustering algorithms.Through an original synthesis of existing literature, this research serves as a beacon for researchers and practitioners in harnessing the prowess of deep learning to enhance the accuracy of document classification endeavors." @default.
- W4386963239 created "2023-09-23" @default.
- W4386963239 creator A5071130692 @default.
- W4386963239 creator A5092518871 @default.
- W4386963239 date "2023-09-20" @default.
- W4386963239 modified "2023-09-29" @default.
- W4386963239 title "Harnessing Deep Learning Techniques for Text Clustering and Document Categorization" @default.
- W4386963239 doi "https://doi.org/10.17762/ijritcc.v11i8.7930" @default.
- W4386963239 hasPublicationYear "2023" @default.
- W4386963239 type Work @default.
- W4386963239 citedByCount "0" @default.
- W4386963239 crossrefType "journal-article" @default.
- W4386963239 hasAuthorship W4386963239A5071130692 @default.
- W4386963239 hasAuthorship W4386963239A5092518871 @default.
- W4386963239 hasBestOaLocation W43869632391 @default.
- W4386963239 hasConcept C108583219 @default.
- W4386963239 hasConcept C119857082 @default.
- W4386963239 hasConcept C124101348 @default.
- W4386963239 hasConcept C154945302 @default.
- W4386963239 hasConcept C17744445 @default.
- W4386963239 hasConcept C177937566 @default.
- W4386963239 hasConcept C199539241 @default.
- W4386963239 hasConcept C23123220 @default.
- W4386963239 hasConcept C2776359362 @default.
- W4386963239 hasConcept C2780479914 @default.
- W4386963239 hasConcept C41008148 @default.
- W4386963239 hasConcept C73555534 @default.
- W4386963239 hasConcept C94124525 @default.
- W4386963239 hasConcept C94625758 @default.
- W4386963239 hasConceptScore W4386963239C108583219 @default.
- W4386963239 hasConceptScore W4386963239C119857082 @default.
- W4386963239 hasConceptScore W4386963239C124101348 @default.
- W4386963239 hasConceptScore W4386963239C154945302 @default.
- W4386963239 hasConceptScore W4386963239C17744445 @default.
- W4386963239 hasConceptScore W4386963239C177937566 @default.
- W4386963239 hasConceptScore W4386963239C199539241 @default.
- W4386963239 hasConceptScore W4386963239C23123220 @default.
- W4386963239 hasConceptScore W4386963239C2776359362 @default.
- W4386963239 hasConceptScore W4386963239C2780479914 @default.
- W4386963239 hasConceptScore W4386963239C41008148 @default.
- W4386963239 hasConceptScore W4386963239C73555534 @default.
- W4386963239 hasConceptScore W4386963239C94124525 @default.
- W4386963239 hasConceptScore W4386963239C94625758 @default.
- W4386963239 hasIssue "8" @default.
- W4386963239 hasLocation W43869632391 @default.
- W4386963239 hasOpenAccess W4386963239 @default.
- W4386963239 hasPrimaryLocation W43869632391 @default.
- W4386963239 hasRelatedWork W2795261237 @default.
- W4386963239 hasRelatedWork W3014300295 @default.
- W4386963239 hasRelatedWork W3164822677 @default.
- W4386963239 hasRelatedWork W4223943233 @default.
- W4386963239 hasRelatedWork W4225161397 @default.
- W4386963239 hasRelatedWork W4312200629 @default.
- W4386963239 hasRelatedWork W4360585206 @default.
- W4386963239 hasRelatedWork W4364306694 @default.
- W4386963239 hasRelatedWork W4380075502 @default.
- W4386963239 hasRelatedWork W4380086463 @default.
- W4386963239 hasVolume "11" @default.
- W4386963239 isParatext "false" @default.
- W4386963239 isRetracted "false" @default.
- W4386963239 workType "article" @default.