Information processing method and device for text data

Abstract

The invention provides an information processing method based on text data. The method includes obtaining an emotional tendency result of the text data based on the text data and the trained classification model, wherein the emotional tendency result comprises a number of positive emotions or a number of negative emotions; obtaining an economic confidence index of the text data according to the emotional tendency result. According to the method, the system and the computer storage medium of the invention, based on the natural language processing technology and the machine learning method, makeup the inherent defects of the traditional method that the data collection time is long and the cost is high, and provide a good data foundation for the subsequent program.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to methods and devices for data processing. Background technique [0002] At present, the research on various indexes in my country is mainly compiled and calculated by the National Bureau of Statistics using traditional survey methods. The completion of this work requires a lot of manpower, material resources, money and time costs. At the same time, the publication of these data often has A certain period of lag. In the Internet era, the speed of information transmission is extremely fast, and network data resources are showing explosive growth. Through the mining and analysis of Internet text data, timely and comprehensive economic information can be obtained, and then a series of indexes reflecting the development trend of the economic situation can be compiled. These indexes contain netizens' overall evaluation of the current economic situation, and their subjective ...

AI Technical Summary

Problems solved by technology

[0004] Therefore, there are defects of long data collection time and high cost in the prior art

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