Correlation analysis between financial data and patent score based on HITS algorithm

Nonaka, Hirofumi; Kubo, Daiki; Makoto,; Kimura, Toru Hiraoka; Ota, Tsuguhito; Masuyama, Shigeru

doi:10.1109/itmc.2014.6918607

Cited by 8 publications

(4 citation statements)

References 4 publications

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“…It should be noted that the effective organization of management of the financial subsystem of the enterprise depends on providing the financial subsystem with timely, high-quality, truthful information coming from its individual elements and subsystems. The managerial information can be considered as the basis for implementation of system organized phenomena which provide development of instruments, methods and strategies of management [22,23]. Industrial companies are moving towards greater digital value creation, from augmented products to serving digital ecosystems (Table 1).…”

Section: Resultsmentioning

confidence: 99%

Digitalization of the financial subsystem of industrial enterprise: points of implementation

et al. 2021

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The article deals with formulation the measures for digitalization of the financial system of industrial enterprises taking into account the management points of its implementation. The article provides an understanding of digitalization. It is analyzed current scientific researchers in this field. It is established that modernization of the financial sphere of an industrial enterprise in the aspect of adaptation to the information economy and digitalization process. It is proved that the executive’s digitalization project creation requires the definition and reevaluating of structures, patterns, techniques, benefits and computerized processes, development strategy and comparing corporate culture with correspondence of instruments between all administration units for speedy reaction on changes. It is analyzed the value creation stages based on core product. Identified elements indicate the directions that need to be implemented at the enterprise for its stable functioning.

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Section: Resultsmentioning

confidence: 99%

Digitalization of the financial subsystem of industrial enterprise: points of implementation

et al. 2021

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“…We then substitute these values in the formula that defines Shannon's Entropy. We calculated the entropy for each word j in relation to positive documents as HPj (3), and the entropy for each word j in relation to negative texts as HNj (5). That is, as is shown in (4) and (6), all instances of the summation when the probabilities PijP or PijN are zero and the logarithm of these becomes undefined are substituted as zero into (3) and (5). (3)…”

Section: Figmentioning

confidence: 99%

“…O'Connor et al, [4] conducted correlation analysis between consumer confidence and sentiment word frequencies in contemporaneous tweets. Nonaka et al, [5] developed a patent scoring method based on citation networks and analyzed relation between the score and stock price.…”

Section: Introductionmentioning

confidence: 99%

Development of an entropy-based feature selection method and analysis of online reviews on real estate

Horino

Nonaka

Carreón

et al. 2017

2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

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In recent years, data posted about real estate on the Internet is currently increasing. In this study, in order to analyze user needs for real estate, we focus on "Mansion Community" which is a Japanese bulletin board system (hereinafter referred to as BBS) about Japanese real estate. In our study, extraction of keywords is performed based on calculation of the entropy value of each word, and we used them as features in a machine learning classifier to analyze 6 million posts at "Mansion Community". As a result, we achieved a 0.69 F-measure and found that the customers are particularly concerned about the facility of apartment, access, and price of an apartment.

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“…According to their study, PageRank patent importance weights differs from the weights based on the number of backward or forward citations. Nonaka, et al [15] calculated a correlation between the patent score based on HITS, which is similar with Pagerank score, and stock data. They indicated high correlation between the patent score of B to B companies and their time series of stock price value.…”

Section: Introductionmentioning

confidence: 99%

Community detection and growth potential prediction from patent citation networks

Hentona

Nonaka

Nakai

et al. 2018

Proceedings of the 10th International Conference on Management of Digital EcoSystems

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The scoring of patents is useful for technology management analysis. Therefore, a necessity of developing citation network clustering and prediction of future citations for practical patent scoring arises. In this paper, we propose a community detection method using the Node2vec. And in order to analyze growth potential we compare three "time series analysis methods", the Long Short-Term Memory (LSTM), ARIMA model, and Hawkes Process. The results of our experiments, we could find common technical points from those clusters by Node2vec. Furthermore, we found that the prediction accuracy of the ARIMA model was higher than that of other models. CCS CONCEPTS• Computing methodologies~Machine learning • Mathematics of computing~Probability and statistics

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Correlation analysis between financial data and patent score based on HITS algorithm

Cited by 8 publications

References 4 publications

Digitalization of the financial subsystem of industrial enterprise: points of implementation

Digitalization of the financial subsystem of industrial enterprise: points of implementation

Development of an entropy-based feature selection method and analysis of online reviews on real estate

Community detection and growth potential prediction from patent citation networks

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