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

Organization
TartuNLP
Abstract
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.
Graduation Theses defence year
2022-2023
Supervisor
Somnath Banerjee
Spoken language (s)
Requirements for candidates
Level
Bachelor, Masters
Keywords
#SocialNLP, #SocialMedia

Application of contact

 
Name
Somnath Banerjee
Phone
E-mail
somnath.banerjee@ut.ee
See more
https://sites.google.com/view/somnath-banerjee