The dataset of technology opportunity discovery for preparation of barium sulfate from titanium white waste acid

'01-original patent data ' is the final patent data set obtained from the patent database and screened for relevance, including the name, abstract, sovereign item and specification of each patent.  '02-keyword frequency raw data ' -First, based on the patent data set, the keyword frequency list extracted by the NLTK algorithm. Secondly, some keywords will be merged according to the meaning of the keywords. Finally, the top 50 keywords are selected according to the word frequency ranking for further data analysis.  '03-keyword co-occurrence relationship table ' -using the co-occurrence relationship formula to extract the co-occurrence relationship between the above 50 keywords in the Excel table, and obtain the final total co-occurrence relationship and the co-occurrence relationship table under the three dimensions ;  '04 - Calculation of Total Network Index - Judgment Basis of Dimension Priority ' - First, the obtained total co-occurrence relation table is input into ucinet software, and degree centrality and betweenness centrality indexes are calculated. Secondly, the calculation results are input into the TOPSIS comprehensive evaluation method after standardization, and the importance of each keyword in the total network and the relative proximity index value in the TOPSIS calculation results are obtained. Finally, according to the dimension of keywords, the average value of the relative proximity index of keywords in each dimension is calculated, and the priority ranking of each dimension is obtained.'05 - Calculation of spatial dimension index-Judgment of priority of technical keywords in spatial dimension ' - First, the obtained spatial dimension co-occurrence relation table is input into ucinet software, and the degree centrality and betweenness centrality indexes are calculated. Secondly, the calculation results are input into the TOPSIS comprehensive evaluation method after standardization, and the priority ranking of each keyword in the spatial dimension in the network is obtained.  '06 - Calculation of index in mechanism dimension - Judgment basis of priority of technical key words in mechanism dimension ' - First, the obtained co-occurrence relation table in mechanism dimension is input into ucinet software, and the indexes of degree centrality and betweenness centrality are calculated. Secondly, the calculation results are input into the TOPSIS comprehensive evaluation method after standardization, and the priority ranking of each keyword in the mechanism dimension in the network is obtained.  '07 - Calculation of material dimension index - Judgment basis of technical key word priority in material dimension ' - First, the obtained material dimension co-occurrence relation table is input into ucinet software, and degree centrality and betweenness centrality indexes are calculated. Secondly, the calculation results are input into the TOPSIS comprehensive evaluation method after standardization, and the priority ranking of each keyword in the material dimension in the network is obtained.