{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T01:55:42Z","timestamp":1772243742376,"version":"3.50.1"},"reference-count":0,"publisher":"IOS Press","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3233\/978-1-61499-912-6-112","type":"book-chapter","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:21:00Z","timestamp":1740115260000},"source":"Crossref","is-referenced-by-count":0,"title":["Latvian Tweet Corpus and Investigation of Sentiment Analysis for Latvian"],"prefix":"10.3233","author":[{"family":"Pinnis M&amacr;rcis","sequence":"additional","affiliation":[]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Human Language Technologies &amp;ndash; The Baltic Perspective"],"original-title":[],"deposited":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:23:15Z","timestamp":1740115395000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.medra.org\/servlet\/aliasResolver?alias=iospressISBN&isbn=978-1-61499-911-9&spage=112&doi=10.3233\/978-1-61499-912-6-112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/978-1-61499-912-6-112","relation":{"is-cited-by":[{"id-type":"doi","id":"10.1007\/978-3-030-57672-1_6","asserted-by":"object"}]},"ISSN":["0922-6389"],"issn-type":[{"value":"0922-6389","type":"print"}],"subject":[],"published":{"date-parts":[[2018]]}}}