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Erschienen in: Annals of Data Science 1/2018

16.02.2018

Build a Tourism-Specific Sentiment Lexicon Via Word2vec

verfasst von: Wei Li, Luyao Zhu, Kun Guo, Yong Shi, Yuanchun Zheng

Erschienen in: Annals of Data Science | Ausgabe 1/2018

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Abstract

Online travel and online travel culture developed fast in China recently years while useful knowledge still hidden under a large number of tourism reviews. Therefore, we need effective sentiment analysis methods to mine useful knowledge which can help tourism websites make decisions and improve their travel products. Some data-driven sentiment lexicons have poor performance on sentiment polarity classification due to lack of semantic information. Thus, we propose an effective and more proper data-driven sentiment lexicon construction method incorporating manually labeled sentiment scores, semantic similarity information that is introduced by machine learning method word2vec. Experimental results demonstrate that our method improves the performance of tourism sentiment analysis significantly.

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Metadaten
Titel
Build a Tourism-Specific Sentiment Lexicon Via Word2vec
verfasst von
Wei Li
Luyao Zhu
Kun Guo
Yong Shi
Yuanchun Zheng
Publikationsdatum
16.02.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Annals of Data Science / Ausgabe 1/2018
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-017-0130-3

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