2026-04-17T23:13:07Zhttps://recercat.cat/oai/requestoai:recercat.cat:2117/1019562025-07-22T18:11:01Zcom_2072_1033col_2072_452951
Targeted data enrichment for an existing large sparse dataset
Xue, Zhouyang
Technische Universität München
Groh, Georg
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
https://hdl.handle.net/2117/101956
112682
eng
Open Access
application/pdf
Universitat Politècnica de Catalunya