Abstract: A disability level automatic judgment device is disclosed. The disability level automatic judgment device includes a processor and a memory. The processor is configured to create a diagnosis information graph according to a diagnosis content, to compare the diagnosis information graph and a standard disability graph, so as to determine a first disability level, and to generate a judgment result according to the first disability level. The memory is coupled to the processor, and the memory is configured to store the standard disability graph.

Abstract: A display system for an issue comprises an input unit, a display unit and an processing unit. The input unit receives an initial keyword corresponding to an issue. The display unit displays at least a derivative issue generated from the issue during a time period according to time-based characteristics. The processing unit coupled to the input unit and the display unit obtains tags of subject contents of web pages, and obtains a present keywords group according to co-occurrence correlation of the tags. The processing unit analyzes the correlation between the present keywords calculated based on social voice, analyzing overlap rate for the present keywords compared with the initial keywords, and compares correlation between the present keywords with correlation between the initial keywords calculated based on social voice, in order to determine whether at least one of the derivative issue is generated.

Abstract: An inference system for data relation, method and system for generating marketing target groups are disclosed herein. The method includes the following operations: inputting a product name; determining a first group type of the product name from a specified data source according to the product name and finding a first interesting field and at least one first interesting data in the first interesting field corresponding to the first group type; establishing a customer persona model, wherein the customer persona model contains second group types, each of second group types has a second interesting field and at least one second interesting data in the second interesting field corresponding to the second group type; comparing the at least one second interesting data of the second group type of the customer persona model with the at least one first interesting data, and screening at least one marketing target group.

Abstract: A comparison table automatic generation method that includes the steps outlined below is provided. An interface is provided to set comparison topics, a basic article, a basic article object and marked paragraphs. Correlation between basic article words of the marked paragraphs is calculated to generate a marked main tag and marked enriched words to further retrieve collected article and a collected article object accordingly. Correlation between collected article words of the collected article paragraphs are calculated to generate main tag and enriched words of collected article to be compared with the marked main tag and the marked enriched words to calculate a similarity to further generate selected paragraphs accordingly. A comparison table that includes the comparison topics, the basic and collected article objects as the items of rows and columns therein is established such that the marked and the selected paragraphs are filled in entries of the comparison table.

Abstract: A display system for an issue comprises an input unit, a display unit and an processing unit. The input unit receives an initial keyword corresponding to an issue. The display unit displays at least a derivative issue generated from the issue during a time period according to time-based characteristics. The processing unit coupled to the input unit and the display unit obtains tags of subject contents of web pages, and obtains a present keywords group according to co-occurrence correlation of the tags. The processing unit analyses the correlation between the present keywords calculated based on social voice, analyzing overlap rate for the present keywords compared with the initial keywords, and compares correlation between the present keywords with correlation between the initial keywords calculated based on social voice, in order to determine whether at least one of the derivative issue is generated.