Extraction of textual information

dc.contributor.authorDegha, Houssem+eddine
dc.date.accessioned2024-10-20T05:45:06Z
dc.date.available2024-10-20T05:45:06Z
dc.date.issued2024
dc.description.abstractThis course provides an overview of Information Mining technologies as an important field in the text mining process. It involves transforming unstructured or semi-structured collections of texts into an ordered collection of data. During the courses, the students will learn: • Architectures of Information Extraction Systems • Knowledge-based Models vs. Probabilistic Models • Recognition of Named Entities and Classification • Coreference Resolution • Recognition of Temporal Expressions and Normalization • Pattern ExtractionEN_en
dc.description.provenanceSubmitted by Zobiri ahlam (ahlamzobiri@gmail.com) on 2024-10-20T05:45:06Z No. of bitstreams: 1 Degha_Houssem_Eddine_Univ_of_Ghardaia.pdf: 1149430 bytes, checksum: 85fd59edcf51ad738467f3dff57efcfa (MD5)en
dc.description.provenanceMade available in DSpace on 2024-10-20T05:45:06Z (GMT). No. of bitstreams: 1 Degha_Houssem_Eddine_Univ_of_Ghardaia.pdf: 1149430 bytes, checksum: 85fd59edcf51ad738467f3dff57efcfa (MD5) Previous issue date: 2024en
dc.identifier.urihttps://dspace.univ-ghardaia.edu.dz/xmlui/handle/123456789/8778
dc.publisherUniversity GhardaiaEN_en
dc.subjectExtraction of textual informationEN_en
dc.subjectModule InformationEN_en
dc.subjectIntoroduction to Information Extraction SystemsEN_en
dc.subjectArchitectures of Information Extraction SystemsEN_en
dc.subjectText Mining Operations Core .EN_en
dc.subjectKnowledge-based Models vs. Probabilistic ModelsEN_en
dc.subjectRecognition of Named Entities and ClassificationEN_en
dc.subjectCoreference ResolutionEN_en
dc.subjectRecognition of Temporal Expressions and NormalizationEN_en
dc.subjectPattern ExtractionEN_en
dc.titleExtraction of textual informationEN_en

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Degha_Houssem_Eddine_Univ_of_Ghardaia.pdf
Size:
1.1 MB
Format:
Adobe Portable Document Format
Description:

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: