Sentiment Analysis of Online Comments through Semantic Networks and ROST Text Mining Software

Sentiment analysis of online comments reveals that tourists' satisfaction with Gulangyu Island is significantly influenced by its historical and international settlement image. The study used ROST ContentMining software to extract high-frequency feature words from tourist reviews, identifying key themes such as cultural heritage, scenic beauty, and unique architectural charm. By constructing social and semantic networks, researchers mapped the emotional tone of tourists' experiences, highlighting positive sentiment toward Gulangyu's preservation efforts and international significance. This approach provides a data-driven method to assess tourism perception, offering insights for heritage management and visitor experience enhancement.

Di, W., & Limei, Y. (2021). Sentiment Analysis of Online Comments through Semantic Networks and ROST Text Mining Software. 2021 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), 869–872. https://doi.org/10.1109/tocs53301.2021.9688923