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Sentiment Analysis (SA) on Estonian Social Media: A Benchmark Dataset and Baselines
Organisatsiooni nimiTartuNLP
KokkuvõteSentiment analysis is a sentence classification task wherein each sentence is labeled to be expressing a positive, negative or neutral sentiment.
Social media SA is the process of interpreting and determining whether the social media collected text data is positive, negative, or neutral. Analyzing sentiment gives you deeper insight into the attitudes, opinions, and emotions behind the text.
This proposal involves: i) creating a benchmark dataset by annotating Estonian tweets, ii) proposing neural baselines.

Outcome: a benchmark dataset and baselines for SA in the context of social media data in Estonian.
Lõputöö kaitsmise aasta2022-2023
JuhendajaSomnath Banerjee
Suhtlemiskeel(ed)
Nõuded kandideerijale
Tase Bakalaureus, Magister
Märksõnad #SocialNLP, #SocialMedia
Kandideerimise kontakt
Nimi Somnath Banerjee
Tel
E-mail somnath.banerjee@ut.ee
Vaata lähemalt https://sites.google.com/view/somnath-banerjee


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