On Sentiment Classification and Aspect Extraction
in Online Product Reviews

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Dimitriadis, Alexis
dc.contributor.advisor	Harvey, Ben
dc.contributor.author	Berger, M.A.
dc.date.accessioned	2017-09-05T17:03:37Z
dc.date.available	2017-09-05T17:03:37Z
dc.date.issued	2017
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/27336
dc.description.abstract	There are multiple possible applications for sentiment analysis and aspect extraction in the online reviews field. To successfully develop those applications, both the topics need to be researched. My research goals follow up on the project goals and can be formulated as follows: • Exploration of well-performing sentiment classification algorithms and aspect extraction model on small online product reviews. • Exploring a possible way to combine those two systems in the field of small online product reviews This thesis will try to address this goals by means of comprehensive, step by step explanation of the system I have created.
dc.description.sponsorship	Utrecht University
dc.format.extent	2948569
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.title	On Sentiment Classification and Aspect Extraction in Online Product Reviews
dc.type.content	Bachelor Thesis
dc.rights.accessrights	Open Access
dc.subject.keywords	sentiment analysis, nlp, text mining, aspect extractions, online reviews
dc.subject.courseuu	Kunstmatige Intelligentie