Identification and Evolution Analysis of Key Technologies Topics of Smartphones in China Based on LDA-ARIMA
[Objective/Significance]Patent is a manifestation of technological capability and contains information on key technological topics.Based on smartphone patent data,the identification and evolution analysis method of key technological topics is proposed to help enterprises obtain technological information in the industry and adjust the cost and effort invested in patent research.[Methods/Processes]Firstly,the patent database and advanced search content are selected,and the patent title and abstract data are downloaded and exported.The data is then processed,including deactivating words and jieba-splitting.Subsequently,a perplexity solution model is built to determine the optimal number of topics.The preprocessed text is then imported into the LDA model for topic mining,resulting in the distribution of key words under each technical topic.The topic's heat degree is transformed into a time series,followed by smoothness and white noise tests.The parameters of the ARIMA model are determined and applied for prediction.Finally,the feature words extracted under each technical topic are used to identify and interpret the key technical topics.The evolution of these topics is analyzed through the results of the time series prediction.[Results/Conclusions]By focusing on smartphones as the research subject,this study successfully identifies 13 key technological topics such as screen,battery and charging,and biometric system.The different developmental characteristics of each theme are analyzed.Moreover,suggestions are provided based on the analysis of evolutionary trends,thus confirming the feasibility and effectiveness of the theme identification and evolutionary analysis method proposed in this paper.
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