Tokyo, Japan

Shiho Negishi

USPTO Granted Patents = 5 

Average Co-Inventor Count = 2.9

ph-index = 2

Forward Citations = 9(Granted Patents)


Location History:

  • Machida, JP (2011)
  • Kanagawa-ken, JP (2015)
  • Tokyo, JP (2013 - 2016)

Company Filing History:


Years Active: 2011-2016

where 'Filed Patents' based on already Granted Patents

5 patents (USPTO):

Title: Shiho Negishi: Innovator in Social Media Analysis

Introduction

Shiho Negishi is a prominent inventor based in Tokyo, Japan. She has made significant contributions to the field of social media analysis, holding a total of 5 patents. Her work focuses on developing methods and systems that enhance the understanding of user sentiments in digital communications.

Latest Patents

Negishi's latest patents include a method for detecting negative opinions in social media. This innovative approach allows for the precise detection of negative sentiments at an early stage. The method involves processing a plurality of messages sent by users over time, determining the politeness level of each message, and calculating the proportion of messages that fall below a certain politeness threshold. Another notable patent is a computer-implemented method for identifying non-self-descriptive terms in electronic documents. This method utilizes a processor and memory to identify nouns in corpus data and present them as candidates for non-self-descriptive terms.

Career Highlights

Throughout her career, Shiho Negishi has worked with notable companies such as IBM and Nuance Communications, Inc. Her experience in these organizations has contributed to her expertise in technology and innovation.

Collaborations

Negishi has collaborated with talented individuals in her field, including Hironori Takeuchi and Yohei Ikawa. These partnerships have further enriched her work and expanded her impact in the industry.

Conclusion

Shiho Negishi's contributions to social media analysis and her innovative patents highlight her role as a leading inventor in her field. Her work continues to influence how we understand and interpret user sentiments in digital communications.

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