Sentiment Analysis (SA) on Estonian Social Media: A Benchmark Dataset and Baselines

Organisatsiooni nimi
TartuNLP
Kokkuvõte
Sentiment 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 aasta
2022-2023
Juhendaja
Somnath 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