Research on Methods of Microblogging Sentiment Feature Extraction Based on Dependency Parsing
- DOI
- 10.2991/isrme-15.2015.120How to use a DOI?
- Keywords
- Microblogging; Dependency Parsing; Opinion Word Expansion; Sentiment Feature Extraction
- Abstract
Microblogging emotional elements extraction recall rate is extremely low without opinion words expansion. Aiming at the feature extraction of Microblogging sentiment, a sentiment feature extraction method based on dependency parsing for the Microblogging emotional has been proposed in this paper, abbreviated as MSFE_DP. The specific steps are as follows: First, the existing opinion words were expanded to build a special emotional thesaurus. Second, according to the six dependencies modes of emotional words and evaluation objects, evaluation units were identified and extracted automatically. Finally, a complete evaluation object was obtained in combination with the evaluation object merging algorithm. Through participating in NLP&CC Chinese Microblogging emotional public evaluation, MSFE_DP took the third place among the 22 approaches in the evaluation tasks, which indicates that our method is effective.
- Copyright
- © 2015, 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 - Yonggan Li AU - Xueguang Zhou AU - Wei Guo AU - Huanguo Zhang PY - 2015/04 DA - 2015/04 TI - Research on Methods of Microblogging Sentiment Feature Extraction Based on Dependency Parsing BT - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering PB - Atlantis Press SP - 581 EP - 589 SN - 1951-6851 UR - https://doi.org/10.2991/isrme-15.2015.120 DO - 10.2991/isrme-15.2015.120 ID - Li2015/04 ER -