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Cluster Computing
Published in: Cluster Computing 1/2018

24-06-2017

Sentiment analysis of short texts in microblog based on ependency parsing

Authors: Lirong Qiu, Jie Li

Published in: Cluster Computing | Issue 1/2018

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Abstract

Traditional approaches to analyzing short text sentiment rarely consider the relationship between emotional words and modifiers. Most traditional methods simply accumulate the sentiment of the sentence to obtain the sentiment of short text. In this paper, we propose a method to mitigate the problems through sentiment structure and sentiment calculation rules. The sentiment structure is obtained from the dependency parsing process with the relationship migration and modified distance, which makes a solid contribution to analyzing the sentiment of short text. The sentiment of short text is accumulated according to the different influence of relationships between the clauses and the contribution of each sentence to the sentiment calculation of short text. Experiment result indicates the effective of the approach.
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Metadata
Title
Sentiment analysis of short texts in microblog based on ependency parsing
Authors
Lirong Qiu
Jie Li
Publication date
24-06-2017
Publisher
Springer US
Published in
Cluster Computing / Issue 1/2018
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-0995-0

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