Proceedings of the 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)

Emotional Analysis Oriented to Short Texts

Authors
Jiewei Luo
Corresponding Author
Jiewei Luo
Available Online May 2018.
DOI
https://doi.org/10.2991/amcce-18.2018.98How to use a DOI?
Keywords
Emotion analysis, Short text, Weighted word vector.
Abstract
With the development of the mobile Internet, short subjective information such as Weibo comments and product reviews has been rapidly increasing, and massive textual information makes manual management more and more difficult. This paper takes the short text as the research object to analyze the emotion. This paper proposes word vector superposition method and weighted word vector method to extract text features based on word vectors, so that the short text features can be further extracted. In the comparison of the performance of the comment emotion analysis model, the effectiveness of the proposed method is illustrated.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
Part of series
Advances in Engineering Research
Publication Date
May 2018
ISBN
978-94-6252-508-5
ISSN
2352-5401
DOI
https://doi.org/10.2991/amcce-18.2018.98How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jiewei Luo
PY  - 2018/05
DA  - 2018/05
TI  - Emotional Analysis Oriented to Short Texts
BT  - 2018 3rd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2018)
PB  - Atlantis Press
SP  - 567
EP  - 570
SN  - 2352-5401
UR  - https://doi.org/10.2991/amcce-18.2018.98
DO  - https://doi.org/10.2991/amcce-18.2018.98
ID  - Luo2018/05
ER  -