Opinion Mining with Density Forests
Phuc Quang Tran, Dung Ngoc Le Ha, Hanh Thi My Le, Hiep Xuan Huynh · EAI Endorsed Transactions on Context-aware Systems and Applications · 2023
In this paper, we propose a new approach for opinion mining with density-based forests. We apply Density-Based Spatial Clustering of Applications with Noise (DBSCAN) to identify clusters of data points in a space of feature vectors that are important features of hotel and restaurant reviews, and then use the clusters to construct random forests to classify whether the opinions expressed about features in the reviews are positive or negative. Our experiment uses two standard datasets of hotel and restaurant reviews in two different scenarios. The experimental results show the effectiveness of our proposed