Change detection in textual classification with unexpected dynamics

Autor: Jairo Cugliari, Philippe Suignard, Clément Christophe, Julien Velcin, Manel Boumghar

Publikováno v: Expert Systems with Applications
Expert Systems with Applications, Elsevier, 2021, 176, pp.114831. ⟨10.1016/j.eswa.2021.114831⟩

International audience; Identifying changes in the dynamics of a classification scheme is an important task to solve using textual data streams. Changes in the volume of documents classified into one category could be a sign of a new emerging structu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb82d8145000f320e372bf296af2bc12
https://hal.archives-ouvertes.fr/hal-03230916/file/ESWA_CDPred.pdf

How to Detect Novelty in Textual Data Streams? A Comparative Study of Existing Methods

Autor: Jairo Cugliari, Philippe Suignard, Clément Christophe, Manel Boumghar, Julien Velcin

Publikováno v: Advanced Analytics and Learning on Temporal Data
Advanced Analytics and Learning on Temporal Data, Sep 2019, Würzburg, Germany. pp.110-125, ⟨10.1007/978-3-030-39098-3_9⟩
Advanced Analytics and Learning on Temporal Data ISBN: 9783030390976
AALTD@PKDD/ECML

Since datasets with annotation for novelty at the document and/or word level are not easily available, we present a simulation framework that allows us to create different textual datasets in which we control the way novelty occurs. We also present a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c6cd4bd5992d24b6045e117611696d7
https://hal.archives-ouvertes.fr/hal-02517546