Company Filing History:
Years Active: 2015-2023
Title: Elena Haliczer: Innovator in Contextual Classification Technologies
Introduction
Elena Haliczer is a prominent inventor based in New York, NY (US), known for her contributions to the field of contextual classification technologies. With a total of 3 patents to her name, she has made significant strides in developing systems that enhance the efficiency of content classification and moderation.
Latest Patents
One of her latest patents is titled "Systems and method for performing contextual classification using supervised and unsupervised training." This invention discloses computerized systems and methods for performing contextual classification of objects. In this implementation, content reviewers can review training objects and submit supervised training data for preprocessing and analysis. The supervised training data is preprocessed to identify key terms and phrases through techniques such as stemming, tokenization, or n-gram analysis, resulting in vectorized objects. These vectorized objects are then utilized to train models for subsequent classification of objects. The systems and methods disclosed can be applied in various applications, including article classification and content moderation.
Career Highlights
Elena has worked with notable companies such as AOL Inc. and Yahoo Assets LLC, where she has honed her skills and contributed to innovative projects. Her experience in these organizations has allowed her to collaborate with other talented professionals in the field.
Collaborations
Some of her coworkers include Thu R Kyaw and Sang Chul Song, with whom she has shared insights and expertise in her projects.
Conclusion
Elena Haliczer's work in contextual classification technologies showcases her innovative spirit and dedication to improving content classification systems. Her patents reflect her commitment to advancing technology in meaningful ways.