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Creating an Annotated Corpus for Aspect-Based Sentiment Analysis in Swedish

Paper i proceeding
Författare Jacobo Rouces
Lars Borin
Nina Tahmasebi
Publicerad i Proceedings of the 5th conference in Digital Humanities in the Nordic Countries
ISSN 1613-0073
Publiceringsår 2020
Publicerad vid Institutionen för svenska språket
Språk en
Länkar https://gup.ub.gu.se/file/208068
Ämnesord Aspect-Based Sentiment Analysis, Swedish, Sentiment Gold Standard, Sentiment Annotation
Ämneskategorier Datorlingvistik

Sammanfattning

Aspect-Based Sentiment Analysis constitutes a more fine-grained alternative to traditional sentiment analysis at sentence level. In addition to a sentiment value denoting how positive or negative a particular opinion or sentiment expression is, it identifies additional aspects or 'slots' that characterize the opinion. Some typical aspects are target and source, i.e. who holds the opinion and about which entity or aspect is the opinion. We present a large Swedish corpus annotated for Aspect-Based Sentiment Analysis. Each sentiment expression is annotated as a tuple that contains the following fields: one among 5 possible sentiment values, the target, the source, and whether the sentiment expressed is ironic. In addition, the linguistic element that conveys the sentiment is identified too. Sentiment for a particular topic is also annotated at title, paragraph and document level. The documents are articles obtained from two Swedish media (Svenska Dagbladet and Aftonbladet) and one online forum (Flashback), totalling around 4000 documents. The corpus is freely available and we plan to use it for training and testing an Aspect-Based Sentiment Analysis system.

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