Cross-cultural Learning Resource Recommendation Method and Corpus Construction Based on Online Comment Sentiment Analysis
- cross-cultural learning resources; online reviews; emotional analysis
Through the emotional analysis of cross-cultural learning resource lines, a data-oriented online commentary sentiment analysis system was established. The emotional bias of the reviewer's content is obtained from a large number of online comments, and the relationship between the various elements is comprehensively considered to realize the multi-classification of online commentary corpus emotions. According to the results of emotional assessment, dynamic and static sentiment lexicons are established to expand the existing emotional corpus, and provide reference for learners to choose cross-cultural communication resources. It is necessary to combine corpus research with computer science to achieve corpus research technology upgrade.
- © 2019, 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 - Dongmei Li PY - 2019/08 DA - 2019/08 TI - Cross-cultural Learning Resource Recommendation Method and Corpus Construction Based on Online Comment Sentiment Analysis BT - Proceedings of the 5th International Conference on Arts, Design and Contemporary Education (ICADCE 2019) PB - Atlantis Press SP - 271 EP - 278 SN - 2352-5398 UR - https://www.atlantis-press.com/article/125916100 ID - Li2019/08 ER -