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Sentiment analysis model for Twitter data in Polish language
[article]
2019
arXiv
pre-print
Text mining analysis of tweets gathered during Polish presidential election on May 10th, 2015. The project included implementation of engine to retrieve information from Twitter, building document corpora, corpora cleaning, and creating Term-Document Matrix. Each tweet from the text corpora was assigned a category based on its sentiment score. The score was calculated using the number of positive and/or negative emoticons and Polish words in each document. The result data set was used to train
arXiv:1911.00985v1
fatcat:6ymavvqegfcpfean2ddirvh4we