Nettsider med emneord «sentiment analysis»

Publisert 9. okt. 2023 14:53

Correct scope detection is an important part in making consistent predictions for many NLP tasks, but it can be a difficult problem, both for newer models and for human annotators. This thesis explores how syntactic information can be utilised at different steps of the modelling process.

Publisert 16. sep. 2022 13:15
Publisert 6. des. 2021 13:28
Publisert 6. des. 2021 13:28
Publisert 19. okt. 2021 09:35
Publisert 29. sep. 2021 13:34
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Publisert 8. apr. 2021 16:15

We have just released a new dataset for modeling sentence-level polarity for Norwegian: NoReCsentence

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Publisert 6. apr. 2021 13:21

Today, Titan.uio.no writes about sentiment analysis and how the SANT work will be continued in two new Centres for Research-based Innovation.

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Publisert 24. jan. 2020 14:10

SANT and opinion mining to be presented at the upcoming Impact Breakfast about AI.

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Publisert 3. okt. 2019 21:41

Two new papers from SANT were presented at the NoDaLiDa conference.

Publisert 23. sep. 2018 08:44

The SANT project will be presented at the Cutting Edge Festival.

Publisert 28. sep. 2017 21:05
Publisert 12. juni 2017 23:12

The SANT project aims to create training data and machine-learned models for Sentiment Analysis for Norwegian Text. While coordinated by the Language Technology Group at IFI/UiO, collaborating partners include NRK, Schibsted and Aller Media.

Publisert 27. sep. 2013 09:17
Publisert 28. sep. 2012 17:02

Word--context vector space models can be used for measuring the semantic similarity between words based on their contextual distributions across large text collections. In this project we propose to use such models for automatically extending a semantic lexicon, such as a wordnet. The scope could also be restricted to a certain set of classes, say focusing only on emotion words as encoded in for example WordNet-Affect.