Gémenos, France

Ana Maria Leon Ortiz


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Ana Maria Leon Ortiz: Innovator in Natural Language Processing

Introduction

Ana Maria Leon Ortiz is a prominent inventor based in Gémenos, France. She has made significant contributions to the field of natural language processing, particularly in the area of topic-based notifications. Her innovative work has the potential to enhance how users interact with content by providing relevant notifications based on their interests.

Latest Patents

Ana Maria holds a patent titled "Classifying relevance of natural language text for topic-based notifications." This patent describes a natural language processing model that identifies topics of interest within a text. The model utilizes a predictive approach to infer topics based on scores associated with the text. The system is designed to train or configure a machine learning model to identify topics based on various inputs, such as keywords or phrases. Additionally, it assesses the predicted impactfulness of content in relation to identified topics, determining whether to generate notifications for users interested in those topics.

Career Highlights

Ana Maria is currently employed at Our Future Universe, where she continues to develop her innovative ideas in natural language processing. Her work is characterized by a commitment to advancing technology that improves user experience and engagement with digital content.

Collaborations

Ana Maria collaborates with talented individuals such as Céline Voisin and Jean Philippe Tissier-Seta. Their combined expertise contributes to the success of their projects and the advancement of their shared goals in the field of technology.

Conclusion

Ana Maria Leon Ortiz is a trailblazer in the realm of natural language processing, with a focus on creating systems that enhance user interaction through relevant notifications. Her contributions are shaping the future of how we engage with information.

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