Thesis Open Access

AMHARIC FAKE ACCOUNT DETECTION USING TEXTUAL INFORMATION: - DEEP LEARNING APPROACH

Tigist Shiferaw Shitie

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <controlfield tag="005">20251111122122.0</controlfield>
  <controlfield tag="001">21392</controlfield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">3403997</subfield>
    <subfield code="z">md5:419135e208e12d81cdcb82b4a5a771b7</subfield>
    <subfield code="u">https://zenodo.org/record/21392/files/Tigist Shiferaw Shitie.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2025-11-11</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="o">oai:zenodo.org:21392</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Tigist Shiferaw Shitie</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">AMHARIC FAKE ACCOUNT DETECTION USING TEXTUAL  INFORMATION: - DEEP LEARNING APPROACH</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">http://www.opendefinition.org/licenses/cc-by</subfield>
    <subfield code="a">Creative Commons Attribution</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;AMHARIC FAKE ACCOUNT DETECTION USING TEXTUAL INFORMATION: - DEEP LEARNING APPROACH&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.20372/nadre:21391</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.20372/nadre:21392</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">publication</subfield>
    <subfield code="b">thesis</subfield>
  </datafield>
</record>
0
0
views
downloads
All versions This version
Views 00
Downloads 00
Data volume 0 Bytes0 Bytes
Unique views 00
Unique downloads 00
More info on how stats are collected.
Indexed in
Publication date:
November 11, 2025
DOI:
10.20372/nadre:21392

Zenodo DOI Badge

DOI 

10.20372/nadre:21392

Markdown 

[![DOI](https://nadre.ethernet.edu.et/badge/DOI/10.20372/nadre:21392.svg)](https://doi.org/10.20372/nadre:21392)

reStructedText 

.. image:: https://nadre.ethernet.edu.et/badge/DOI/10.20372/nadre:21392.svg
   :target: https://doi.org/10.20372/nadre:21392

HTML 

<a href="https://doi.org/10.20372/nadre:21392"><img src="https://nadre.ethernet.edu.et/badge/DOI/10.20372/nadre:21392.svg" alt="DOI"></a>

Image URL 

https://nadre.ethernet.edu.et/badge/DOI/10.20372/nadre:21392.svg

Target URL 

https://doi.org/10.20372/nadre:21392

License (for files):
Creative Commons Attribution

Versions

Version 1 10.20372/nadre:21392 Nov 11, 2025
Cite all versions? You can cite all versions by using the DOI 10.20372/nadre:21391. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export