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2018 | OriginalPaper | Chapter

Sentiment Analysis in Polish Web-Political Discussions

Authors : Antoni Sobkowicz, Marek Kozłowski

Published in: Human Language Technology. Challenges for Computer Science and Linguistics

Publisher: Springer International Publishing

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Abstract

The article presents analysis of Polish Internet political discussion forums, characterized by significant polarization and high levels of emotion. The study compares samples of discussions gathered from the Internet comments concerning the last Polish election candidates. The authors compare three dictionary based sentiment analysis methods (built using different sentiment lexicons) with two machine learning ones, and explore methods using word embeddings to enhance sentiment analysis using dictionary based algorithms. The best performing algorithm is giving results closely corresponding to human evaluations.

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previous chapter Automatic Extraction of Harmful Sentence Patterns with Application in Cyberbullying Detection

next chapter Saturation Tests in Application to Validation of Opinion Corpora: A Tool for Corpora Processing

Datasets are available on http://opi-lil.github.io/datasets/website.

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Title: Sentiment Analysis in Polish Web-Political Discussions
Authors: Antoni Sobkowicz
Marek Kozłowski
Publisher: Springer International Publishing
Book: Human Language Technology. Challenges for Computer Science and Linguistics
Print ISBN: 978-3-319-93781-6

Electronic ISBN: 978-3-319-93782-3

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-93782-3_26

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