NEC had nine patents in social media during Q2 2024. NEC Corp filed patents in Q2 2024 for a processing apparatus to extract useful information from social media contributions with high accuracy by computing reliability based on various factors. Another patent is for a planning assistance system that receives user comments on events in a travel plan and displays them. Additionally, a patent for a processing apparatus aims to improve decision precision in determining the activity area of a target user by analyzing information from reference users on social media. GlobalData’s report on NEC gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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NEC had no grants in social media as a theme in Q2 2024.
Recent Patents
Application: Processing apparatus, processing method, and non-transitory storage medium (Patent ID: US20240168960A1)
The patent filed by NEC Corp. describes a processing apparatus that acquires contribution information from social media related to a target area and computes the reliability of this information based on various factors such as the activity area of the contributor, the disclosure of the contributor's profile, and the category of the content. The apparatus then outputs the contribution information with a reliability higher than a set threshold value. Additionally, the processor can compute higher reliability for information where there is a greater match between the target area and the contributor's activity area, or when more profiles are disclosed.
Furthermore, the processing method and non-transitory storage medium described in the patent outline similar steps for acquiring and computing the reliability of contribution information from social media. These methods also emphasize the importance of factors like the degree of matching between the target area and the contributor's activity area, the reliability of the estimation result, and the disclosure of profiles in determining the overall reliability of the information. The patent aims to provide a systematic approach to extracting useful information from social media contributions with high accuracy by evaluating multiple aspects of the contributors and their content.
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