Patent abstract analysis on Chinese big data

In recent years, big data technologies draw wide attention from academic and industry. Patents analysis is widely viewed as one of the major tools to tracking the development of technologies. In traditional patent analysis methods, some given keywords are used to query big data patent information from related patent web sites, and then analyze some trends of big data. But big data techniques are involved in a lot of applications, different patent applicants have different subjectivities in the setting for keywords. In view of this problem, we proposed a new method for patent analysis of big data in a more precise way, based on the analysis of big data patent abstracts in China's domestic. Our method extracted keywords from the abstract of big data patent documents to obtain more accurate data for a deeper analysis of patents. Through this study, we found that the development of big data in China's domestic can be divided into two distinct stages and it entered into a quickly growth stage after 2008. Industry development is faster than the academic community; of which Huawei has the most quantities of patent applications. There is a serious unbalance in the development of big data technology in China, and the development in the eastern region is far beyond that in the western region. These findings suggest that the government should pay great attention on the imbalanced development of big data and increase supports for backward areas. Also, the development of big data is expected to improve both government decision-making capabilities and service levels.