Yael Cohen

Title: Yael Cohen: Innovator in Data Extraction and Analysis

Introduction

Yael Cohen is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of data extraction and analysis, holding a total of 5 patents. His innovative work focuses on automating the extraction of data from web pages and utilizing advanced techniques in natural language processing and machine learning.

Latest Patents

One of Yael Cohen's latest patents is a method, medium, and system for automatic data extraction from web pages and analysis thereof. This patent outlines a process for accessing multiple web pages from various merchants, identifying inventory pages, and extracting product prices. The output generated includes a comprehensive listing of products or services along with their respective prices.

Another notable patent involves evaluating user status via natural language processing and machine learning. In this invention, a request from a user on a social interaction platform is analyzed using previous interaction data. The analysis employs natural language processing techniques to derive insights, which are then used in a machine learning process to determine whether to grant or deny the user's request.

Career Highlights

Yael Cohen has worked with several notable companies throughout his career, including PayPal, Inc. and Amdocs Software Systems Limited. His experience in these organizations has contributed to his expertise in developing innovative solutions in data management and analysis.

Collaborations

Yael has collaborated with talented individuals such as Ran Yuchtman and Olga Sharshevsky, who have contributed to his projects and innovations.

Conclusion

Yael Cohen's work in data extraction and analysis showcases his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of both user needs and technical capabilities, making him a valuable contributor to the field.