Cross-cultural Learning Resource Recommendation Method and Corpus Construction Based on Online Comment Sentiment Analysis

Keywords

cross-cultural learning resources; online reviews; emotional analysis

Abstract

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.

Copyright

© 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/).

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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  -