Mohamed Maskittou, Anass El Haddadi, Hayat Routaib
{"title":"Intelligent technology management based on patent topic modeling : *Note: Sub-titles are not captured in Xplore and should not be used","authors":"Mohamed Maskittou, Anass El Haddadi, Hayat Routaib","doi":"10.1109/NISS55057.2022.10085417","DOIUrl":null,"url":null,"abstract":"Competitive intelligence and technology insights are the results of using the materials and methods of big data analytics to arrange existing knowledge, integrating big data analytics in the field of patent analysis is an urgent need for any company in the marketplace to gain strong knowledge about the computational environment, this paper is a new paradigm in patent analysis by proposing a full methodology from feature selection to clustering phase based on singular value decomposition (SVD) as a central tool to determine the correlation between the patent’s data, semantic patent topics could emerge more relevant topics helping the senior managers in the companies in claiming new management strategy to fill the gaps with the markets with decreasing the cost of the production and time-consuming of the decision-making in each level of the organization.","PeriodicalId":138637,"journal":{"name":"2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 5th International Conference on Networking, Information Systems and Security: Envisage Intelligent Systems in 5g//6G-based Interconnected Digital Worlds (NISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NISS55057.2022.10085417","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Competitive intelligence and technology insights are the results of using the materials and methods of big data analytics to arrange existing knowledge, integrating big data analytics in the field of patent analysis is an urgent need for any company in the marketplace to gain strong knowledge about the computational environment, this paper is a new paradigm in patent analysis by proposing a full methodology from feature selection to clustering phase based on singular value decomposition (SVD) as a central tool to determine the correlation between the patent’s data, semantic patent topics could emerge more relevant topics helping the senior managers in the companies in claiming new management strategy to fill the gaps with the markets with decreasing the cost of the production and time-consuming of the decision-making in each level of the organization.