  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 tweets. We analyse contents
of the corpus and demonstrate use-cases for the sub-corpora by training
domain-specific question-answering and sentiment-analysis models using data
from the corpus.
