Big data index analysis method and system based on news transmissibility

Abstract

The invention discloses a big data index analysis method and system based on news transmissibility. The system comprises a search module, an initialization module, a big data factor calculation module, an analysis processing module and a result output module, wherein the search module is used for searching financial information in a target website and obtaining the popular degree of the information; the initialization module is used for initializing a big data index stock selection model according to a configuration file input by a user; the big data factor calculation module is used for obtaining a big data factor according to the popular degree of the information; the analysis processing module is used for establishing the big data index stock selection model according to the big data factor after initialization is finished, determining a sample stock in the big data index stock selection model, and carrying out weighing on a sample to obtain a big data index to obtain an analysis result; and the result output module is used for transmitting the analysis result to an application server. In virtue of a web crawler, the relevant financial information of each financial website is searched, basic financial data which is artificially collected is combined, and more selective indexation investment objects are provided for a market on the basis of the big data index stock selection model.

Description

technical field [0001] The invention belongs to the financial field, and in particular relates to a big data index recommendation method and system based on news dissemination power. Background technique [0002] At present, several big data series indexes have been launched in China. The series of indexes featuring Internet financial data application were officially released on September 12, 2014. Including "Big Data 100 Index" (abbreviation: i100, code: 3999415) and "Big Data 300 Index" (abbreviation: i300, code 399416), it is the first big data series index listed on the stock exchange in China. Take the representative i100 index as an example. The index first calculates the financial factor scores of individual stocks, market driving factor scores, and Sina big data scores, and then calculates the comprehensive score of individual stocks based on the scores and factor weights, selects the top 100 stocks as sample stocks, and regularly adjusts sample stocks. Finally, th...

AI Technical Summary

Problems solved by technology

The disadvantage of this index is: Sina Finance Channel is only a part of many authoritative and well-known websites. Even though the channel has a high number of clicks, the sampling standard for the entire information market is still relatively single, which has a certain one-sidedness.

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