Short Text Classification Using Semantic Random Forest

Autor: Ameni Bouaziz, Frédéric Precioso, Patrick Lloret, Christel Dartigues-Pallez, Célia da Costa Pereira

Publikováno v: Data Warehousing and Knowledge Discovery
Data Warehousing and Knowledge Discovery, Sep 2014, Munich, Germany. ⟨10.1007/978-3-319-10160-6_26⟩
Data Warehousing and Knowledge Discovery ISBN: 9783319101590
DaWaK

International audience; Using traditional Random Forests in short text classification revealed a performance degradation compared to using them for standard texts. Shortness, sparseness and lack of contextual information in short texts are the reason

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::700c623e8878c368f634190903c9db83
https://hal.archives-ouvertes.fr/hal-01325212