Emotional Analysis Oriented to Short Texts
- https://doi.org/10.2991/amcce-18.2018.98How to use a DOI?
- Emotion analysis, Short text, Weighted word vector.
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.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Jiewei Luo PY - 2018/05 DA - 2018/05 TI - Emotional Analysis Oriented to Short Texts BT - Proceedings of the 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 -