Using relevance feedback and text similarity to  reduce review effort in eDiscovery

Kats, Timo

LIACS Thesis Repository

These webpages contain theses and reports by students affiliated with the various bachelor and master programmes offered at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.
Note: this thesis repository might be incomplete for certain programmes.

Master ICT in Business and the Public Sector

The following thesis was written by a student in the 2022-2023 class of the Master ICT in Business and the Public Sector programme at Leiden University.

Thesis details

Title	Using relevance feedback and text similarity to reduce review effort in eDiscovery
Student	Kats, Timo
Programme	Master ICT in Business and the Public Sector
Year	2022-2023
Supervisors	Putten, dr. P.W.H. (Peter) van der prof. dr. Ir. J.C. Scholtes (second supervisor)
Thesis	Open Thesis PDF

Citation details

Kats, Timo , Using relevance feedback and text similarity to reduce review effort in eDiscovery, Thesis Master ICT in Business and the Public Sector, LIACS, Leiden University, 2023.