Should I Visit This Place? Inclusion and Exclusion Phrase Mining from Reviews

Although several automatic itinerary generation services have made travel planning easy, often times travellers find themselves in unique situations where they cannot make the best out of their trip. Visitors differ terms many factors such as suffering from a disability, being particular dietary preference, travelling with toddler, etc. While most tourist spots are universal, others may not be inclusive for all. In this paper, we focus on problem mining inclusion and exclusion phrases associated 11 factors, reviews related to spot. existing work tourism data mainly focuses structured extraction trip information, personalized sentiment analysis, generation, our knowledge is first inclusion/exclusion phrase reviews. Using dataset 2000 1000 spots, broad level classifier provides binary overlap F1 \(\sim \)80 \)82 classify or respectively. Further, an \)98 \)97 11-class classification We believe that can significantly improve quality service.