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Latvian Tweet Corpus and Investigation of Sentiment Analysis for Latvian
Mārcis Pinnis
112 - 119
10.3233/978-1-61499-912-6-112
Frontiers in Artificial Intelligence and Applications
Volume 307: Human Language Technologies – The Baltic Perspective
Abstract

We present the Latvian Tweet Corpus and its application in sentiment analysis by comparing four different machine learning algorithms and a lexical classification method. We show that the best results are achieved by an averaged perceptron classifier. In our experiments, the more complex neural network-based classification methods (using recurrent neural networks and word embeddings) did not yield better results.

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