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Apparatus and method for executing an automated analysis of data, in particular social media data, for product failure detection

A data analysis and automatic technology, applied in data comparison, relational database, database model, etc., can solve problems such as undetectable correlation

Active Publication Date: 2017-04-05
HITACHI LTD
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  • Claims
  • Application Information

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Problems solved by technology

US2015 / 0058344A1 appears to propose a general approach for social data analysis, but fails to detect correlations between terms that might be used to determine specific meaning or causality

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  • Apparatus and method for executing an automated analysis of data, in particular social media data, for product failure detection
  • Apparatus and method for executing an automated analysis of data, in particular social media data, for product failure detection
  • Apparatus and method for executing an automated analysis of data, in particular social media data, for product failure detection

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Embodiment Construction

[0080] Hereinafter, preferred aspects and exemplary embodiments will be described in more detail with reference to the accompanying drawings. Identical or similar features in different figures and embodiments are sometimes referred to by similar reference numerals. It should be understood that the following detailed description of various preferred aspects and preferred embodiments is not meant to limit the scope of the present invention.

[0081] In the most preferred aspect, the embodiments should be applied to the automotive industry, and in particular fault detection based on social media analysis for earlier detection of recall situations to avoid high costs. However, it should be noted that aspects and embodiments are also applicable to different fields. Exemplarily, embodiments will be described in the context of analyzing social media data as input data for the analysis.

[0082] However, the present invention and its exemplary embodiments are not limited in any way ...

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Abstract

An apparatus and a method for executing an automated analysis of analysis input data (e.g. social media data and / or On-Board-Diagnosis data) for product failure detection is proposed. Data analysis processing is performed, including: word count processing to determine word count numbers indicative of occurrence frequencies for keywords of a database in user-created text documents of the social media data; correlation determination processing to determine, for each of a plurality of keyword pairs, a respective correlation coefficient; correlation-link identification processing to identify correlation-linked keyword pairs for which the determined correlation coefficient exceeds a correlation threshold; and correlation group identification processing to identify correlation groups of keywords based on the identified correlation-linked keyword pairs; and, if one or more correlation groups of keywords are identified, analysis result data indicative of at least one of the one or more identified correlation groups of keywords is output.

Description

technical field [0001] The present disclosure relates to methods and devices for performing automatic data analysis, in particular social data and / or on-board diagnostic data, and in particular for the purpose of product fault detection, preferably in the automotive industry. Background technique [0002] Each year, Original Equipment Manufacturers (OEMs) in the automotive industry lose large amounts of money due to recalls of vehicles with safety-related issues. These vehicles are produced and shipped to market as long as the fault is unknown to the OEM. By the time the OEM becomes aware of the problem, the number of affected vehicles in the market is already large, and the cost of recalling and repairing these affected vehicles is therefore significant. Accordingly, OEMs are looking for a quick and reliable way of detecting faulty spare parts to reduce recall costs. [0003] "What's Humming in the Hum of a Snowstorm? Isolation of Auto Parts in Social Media Notices" by Al...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/285G06Q10/20G06Q50/01G06F16/2465G06F40/284H04L51/52G06F40/279G06F7/20
Inventor 安东尼·埃梅卡·奥哈祖里克安德烈亚·托马蒂斯林岚
Owner HITACHI LTD
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