Train model to predict 2-class sentiment based on 2-class datasets - Githubissues

mood-mapping-muppets / repo

COVID-19 European news text analysis dashboard for the Embeddia hackathon

http://covidmoodmap.rahtiapp.fi/

Apache License 2.0

0 stars 1 forks source link

Train model to predict 2-class sentiment based on 2-class datasets #11

Open frankier opened 3 years ago

frankier commented 3 years ago

e.g. Slovenian sentiment https://www.clarin.si/repository/xmlui/handle/11356/1110 (BTW here is their paper on transferring https://zenodo.org/record/4011184#.YBKG1SuxXJF ) More: https://www.clarin.si/repository/xmlui/discover?rpp=10&etal=0&query=news+sentiment&group_by=none&page=1 Common English sentiment datasets e.g. SST-2 IMDB: https://pytorch.org/text/stable/datasets.html#sentiment-analysis

frankier commented 3 years ago

Financial news sentiment: https://www.kaggle.com/ankurzing/sentiment-analysis-for-financial-news

frankier commented 3 years ago

Can also try with/compare with https://github.com/PeliconA/news_sentiment_tool_embeddia

frankier commented 3 years ago

Also the possibility of word lists e.g. SentiWordNet + OpenMultiWordNet