Classifying Travel-related Intents in Textual Data
International journal of computing, communication and instrumentation engineering · 2016
Intent classification refers to the process of identifying a set of intents of interest that appear in a given document.This work considers the task of annotating travel-related reviews with travel intents that best represent the reviewer's reason for visiting the place of interest (POI).A domain-tailored word embedding model is learned to construct intent-specific feature vectors, thereby improving classification accuracy.The feasibility of multiclass intent classification is explored using an intent corpus, consisting of 6,560 labelled reviews.