Semantic Analysis for Online Travel Accommodation Reviews
نویسندگان
چکیده
Currently, most tourists use the Internet to retrieve information for supporting their decision in selecting the tourist places that conform to their preferences. The most common method is the decision based on reviews of experienced tourists. However, tourists must read enormous reviews in order to select their preferred tourist places. This article presents an analysis module for online travel accommodation reviews. The analysis module combines several techniques, such as ontology, natural language processing, and fuzzy logic. However, this article focuses on applying the natural language processing for semantic analysis to solve the accommodation feature extraction problems. The experimental results of the feature extraction process are achieved in 79.22% of overall accuracy, 100% of overall precision, and 76.05% of overall recall.
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