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Update 5-Sentiment analysis.csv
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jakoble committed Oct 30, 2024
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"FinnSentiment 1.1";"http://urn.fi/urn:nbn:fi:lb-2023012701";"27,000 sentences";"sentiment analysis";"CC BY";;"Finnish";"This corpus contains sentences from Finnish social media that have been manually annotated for sentiment polarity by three native annotators.#SEPThe corpus is available for download from META-SHARE (the Finnish Language Bank).";"Manually annotated corpora";"Download";"http://urn.fi/urn:nbn:fi:lb-2023012701";"Lindén et al. (2023)";"https://doi.org/10.1007/s10579-023-09644-5";
"NoReC: The Norwegian Review Corpus";"http://hdl.handle.net/11509/124";"14.8 million tokens";"sentiment analysis";"CC BY-NC 3.0";;"Norwegian";"This corpus contains reviews in different domains (e.g., literature, videogames, etc.).#SEPThe corpus is available for download from the CLARINO repository.";"Manually annotated corpora";"Download";"http://hdl.handle.net/11509/124";"Velldal et al. (2018)";"https://www.clarin.eu/resource-families/manually-annotated-corpora#Velldal%20et%20al.%202018";
"Manually sentiment annotated Slovenian news corpus SentiNews 1.0";"http://hdl.handle.net/11356/1110";"10,427 articles";"sentiment analysis";"CC BY-SA 4.0";;"Slovenian";"This corpus contains news articles.#SEPThe corpus is available for download from the CLARIN.SI repository.";"Manually annotated corpora";"Download";"http://hdl.handle.net/11356/1110";"Bučar et al. (2018)";"https://www.clarin.eu/resource-families/manually-annotated-corpora#Bu%C4%8Dar%20et%20al.%202018";
"Affect in Tweets PT ";"https://hdl.handle.net/21.11129/0000-000E-75BA-D ";"11,219 tweets";"sentiment analysis";"CC BY";;"Portuguese";"This is a data set of Portuguese tweets labeled with the emotion conveyed in the tweet. Each tweet is labelled with an emotion (anger, fear, joy, sadness).";"Manually annotated corpora";"Download";"https://hdl.handle.net/21.11129/0000-000E-75BA-D ";;;

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