Research On The Perceived Helpfulness Of Online Review Content Features With Their Valence

The emergence of online reviews enables users to understand product information comprehensively.However,massive online reviews also bring a cognitive load problem and affect the efficiency of the user's decision.How to find useful reviews quickly with high value from mass reviews has become the focus of the majority of users.Especially in recent years,online travel has been gaining momentum.Travel online reviews increasingly highlight their influence on the acquisition of user travel information.These reviews come from the feedback from historical users,which can be used to perceive goods and services more objectively and objectively.Therefore,it is more necessary for us to quickly identify the factors that affect the user's perceived usefulness from a wide range of reviews to help users to make better decisions.In view of the fact that people's travel information acquisition in tourism online reviews is extended from offline traditional travel agencies to online travel platforms,it also provides more channels for users to get tourist information.Therefore,this paper selects the online tourist website to study and selects the tourism online review as the research object,then sorts out relevant literature on usefulness reviews and applies relevant theories to propose the hypotheses of this paper,such as consumer perceived value and information overload.Second,we preprocess text texts,extract text features,and label valences through text mining to obtain keywords in the reviews about the recommended features,emotional features,attribute features,and service features.Finally,based on empirical results,we analyze the conclusions,and sum up the deficiencies of this study,looking forward to the future research direction.The innovations are mainly reflected in the following two points:1)this paper classifies the content features of the reviews into recommendation features,emotional features,attribute features,service features,and applies them to online travel websites information ares.2)Considering the impact of each feature's valence on its usefulness,we construct a more reasonable model of usefulness research.Therefore,this paper is helpful for enriching and improving the existing tourism information management field.It can also help users quickly identify online reviews with high usefulness value and provide relevant guidance.Based on this conclusion,users can write reviews that have high perceived usefulness value.In order to obtain a higher usefulness vote,and the website can also find out the useful reviews to give priority to the user for the user to quickly identify.All of these help the user to get the travel information in the online review better and better.