Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/35576
Title: Ensemble Learning for Keyword Extraction
Authors: Geadas, Pedro
Orientador: Ribeiro, Bernardete Martins
Keywords: Keyword; Keyphrase; Automatic Keyword Extraction; Ensemble learning; Artificial Intelligence; Machine Learning; Supervised Machine Learning; Information Extraction; Information Retrieval
Issue Date: 20-Sep-2013
Serial title, monograph or event: Ensemble Learning for Keyword Extraction
Place of publication or event: Coimbra
Abstract: Nowadays, the most relevant events occurring in the city are advertised on-line, generally through small textual descriptions. The exponential growth of the Web often hampers the task of finding relevant information, turning the existence of good information extraction and summarization methods in a necessity. As such, the main goal of this dissertation is to develop an ensemble learning application for automatically extracting keywords from those event textual descriptions, since using human indexers is slow and expensive. Through rich information on events, one should be able to understand its mobility implications and possibly correlate both, allowing to foreseeing eventual repercussions that a specific event may cause in the city’s normal behavior. The proposed application intends to apply Supervised Machine Learning approaches, namely from known automatic keyword extraction systems, retrieving a set of keywords as output from the event descriptions usually found in theWeb
Description: Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra
URI: http://hdl.handle.net/10316/35576
Rights: openAccess
Appears in Collections:UC - Dissertações de Mestrado
FCTUC Eng.Informática - Teses de Mestrado

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