科技进步与对策
科技進步與對策
과기진보여대책
Science & Technology Progress and Policy
2014年
5期
70~74
,共null页
机器人产业 专利分析 文本挖掘 核主成分分析 技术机会
機器人產業 專利分析 文本挖掘 覈主成分分析 技術機會
궤기인산업 전리분석 문본알굴 핵주성분분석 기술궤회
Robotics; Patent Analysis; Text Mining; KPCA; Technology Opportunities
基于文本挖掘及核主成分分析方法，绘制了机器人产业技术的二维及三维技术空白专利地图，寻找机器人产业的技术空白点，通过专利空白点的平均被引频次、平均同族专利数量及密度三项指标，评估空白区域的重要程度，对于研究者进一步规划空白点技术的创新突破路径具有重要意义。
基于文本挖掘及覈主成分分析方法，繪製瞭機器人產業技術的二維及三維技術空白專利地圖，尋找機器人產業的技術空白點，通過專利空白點的平均被引頻次、平均同族專利數量及密度三項指標，評估空白區域的重要程度，對于研究者進一步規劃空白點技術的創新突破路徑具有重要意義。
기우문본알굴급핵주성분분석방법，회제료궤기인산업기술적이유급삼유기술공백전리지도，심조궤기인산업적기술공백점，통과전리공백점적평균피인빈차、평균동족전리수량급밀도삼항지표，평고공백구역적중요정도，대우연구자진일보규화공백점기술적창신돌파로경구유중요의의。
The two-dimensional and three-dimensional technology gaps patent maps of robotics industry technology were drawn based on patent text mining and kernel principal component analysis, then the technology blank spots of robotics in- dustry were found. The importance of the blank area was evaluated through three indicators includes the average cited fre- quency of patent blank point, the average number of patent families and the density, which has great significance for re- searchers to further develop the innovation breakthrough path of blank spots technology.
