2026-04-13T14:21:20Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/1019562025-07-22T18:11:01Zcom_2072_1033col_2072_452951

urn:hdl:2117/101956 Targeted data enrichment for an existing large sparse dataset Xue, Zhouyang Àrees temàtiques de la UPC::Informàtica Machine learning Data mining Aprenentatge automàtic Mineria de dades The current work collected a dataset on the interaction between people to be used in future research on sentiment analysis. Based on messages sent from an individual to others, a crawler is build to able to identify individual with high likelihood of response. Based on a random forest model that analyzes features in message and frequent term count analysising the text body, the crawler was able to detect replyied individuals with 75% of acurracy. This allowed us to build a dense and strong connected social network and thus can works for more detailed analysis social researches. 2016-12-15 Bachelor thesis Open Access Universitat Politècnica de Catalunya