Research On Product Innovation Scheme Identification Based On Potential User Needs From The Perspective Of Online Comments

The rapid development of Internet technology has led to increasing and diversified user demand for products and services.For product-oriented enterprises,users’ demand for product services and functional improvement has prompted enterprises to continuously carry out product innovation and research and development in order to maintain competitiveness in the product market.Product development is an important part of an enterprise’s core competitiveness in the market,and the essence of making products competitive is to meet the needs of users.Online reviews have become an important source of information for enterprises to analyze users’ needs because of its wide range of data sources,authenticity,spontaneity and other characteristics.Furthermore,in the product user requirements acquisition,users usually put forward non-technical comment texts based on their understanding and feedback of the product,which contains unstructured information of potential user requirements.The technical innovation element,as a collection of elements of each product module,can effectively reflect the technical characteristics of the product.Therefore,correlating the information of potential users’ demands with the innovation elements of technical modules for analysis and evaluation,and completing the mapping from the demand side to the technical side,the information of technical modules considering the demands can be obtained.In addition,selecting a suitable innovation method can improve the accuracy and success rate of product innovation solution identification,and carrying out research on product innovation solution identification method based on online reviews considering potential users’ demands is of great guidance for product innovation R&D.Based on online comments,this paper proposes a product innovation scheme identification method considering the needs of potential users.The specific research contents and main contributions are as follows:One is extraction of the potential users’ demand information based on the Structural Topic Model.In order to accurately understand users’ demand and preference information,this paper proposes a potential user demand identification model based on web crawling technology and structural theme model.The model crawls online reviews through web crawler technology to obtain the demand feedback from experienced users;and uses the structural theme model to cluster and extract the potential users’ demand information contained in it,which lays the foundation of demand for product innovation and development.Second is transformation of innovation elements based on probabilistic.For precise innovation and system development of products,user requirement information needs to be transformed into usable technical innovation elements.This paper illustrates the process of determining the importance of technical modules for potential user requirements based on probabilistic semantic term sets.The process correlates and evaluates the extracted potential user requirements information with the classified product technology module information to precisely identify the high importance technology modules that meet user requirements,completes the mapping from the requirements side to the technology side,and then provides an effective guide for product innovation solution identification.The third is Identification of product innovation schemes based on the multidimensional technological innovation map.In order to save the resource consumption and cost in the product development and design process,and to identify and prefer product innovation solutions accurately and efficiently,this paper proposes an innovation solution identification method based on a multidimensional technology innovation map that considers potential user needs.The process ensures the rationality and scientificity of the product innovation solution identification process by inputting the dimensional division of the extracted innovation elements,then selecting the appropriate innovation laws to act on the innovation elements in combination with the product characteristics,identifying potential product opportunities,combining the product opportunities and iterating to finally generate product solutions.Finally,based on the above-mentioned research contents of potential user demand analysis,innovation element extraction and product innovation solution identification,this paper verifies the effectiveness of the proposed product innovation solution identification method based on online review considering potential user demand through the example analysis of aerial drone product innovation R&D,and provides scientific method guidance for product R&D design and innovation solution decision of enterprises.