Analysis and Visualization of Semantics from Massive Document Directories

Aus SDQ-Institutsseminar
Version vom 9. September 2021, 13:24 Uhr von Edouard Fouché (Diskussion | Beiträge)
(Unterschied) ← Nächstältere Version | Aktuelle Version (Unterschied) | Nächstjüngere Version → (Unterschied)
Vortragende(r) Klevia Ulqinaku
Vortragstyp Bachelorarbeit
Betreuer(in) Edouard Fouché
Termin Fr 29. Oktober 2021
Vortragssprache
Vortragsmodus
Kurzfassung Research papers are commonly classified into categories, and we can see the existing contributions as a massive document directory, with sub-folders. However, research typically evolves at an extremely fast pace; consider for instance the field of computer science. It can be difficult to categorize individual research papers, or to understand how research communities relate to each other.

In this thesis we will analyze and visualize semantics from massive document directories. The results will be displayed using the arXiv corpus, which contains domain-specific (computer science) papers of the past thirty years. The analysis will illustrate and give insight about past trends of document directories and how their relationships evolve over time.