Uga Sproģis

Uga Sproģis
University of Latvia | LU · Department of Computer Science

Bachelor of Computer science

About

3
Publications
189
Reads
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6
Citations
Citations since 2017
3 Research Items
6 Citations
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
20172018201920202021202220230.00.51.01.52.02.53.0
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Publications

Publications (3)
What Can We Learn From Almost a Decade of Food Tweets
Poster
Full-text available
  • Sep 2020
The Latvian Twitter Eater Corpus is a set of tweets in the narrow domain related to food, drinks, eating and drinking. We also separate two sub-corpora of question and answer tweets and sentiment annotated tweets. We analyse contents of the corpus and demonstrate use-cases for the sub-corpora by training domain-specific question-answering and senti...
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Figure 2. Collected tweet count by year.
Figure 3. Four of the large trends noticeable in the TEC.
Figure 4. Five of the yearly seasonal trends noticeable in the TEC.
List of main keywords used to collect the corpus.
List of foods and drinks which are the most popular overall.
What Can We Learn from Almost a Decade of Food Tweets
Conference Paper
Full-text available
  • Sep 2020
We present the Latvian Twitter Eater Corpus - a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of over 8 years and includes over 2 million tweets entailed with additional useful data. We also separate two sub-corpora of question and answer tweets and sentiment annotated...
View
Figure 2. Collected tweet count by year.
Figure 3. Four of the large trends noticeable in the TEC.
Figure 4. Five of the yearly seasonal trends noticeable in the TEC.
List of main keywords used to collect the corpus.
List of foods and drinks which are the most popular overall.
What Can We Learn From Almost a Decade of Food Tweets
Preprint
Full-text available
  • Jul 2020
We present the Latvian Twitter Eater Corpus - a set of tweets in the narrow domain related to food, drinks, eating and drinking. The corpus has been collected over time-span of over 8 years and includes over 2 million tweets entailed with additional useful data. We also separate two sub-corpora of question and answer tweets and sentiment annotated...
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