Company Filing History:
Years Active: 2018-2022
Title: Naomi Zeichner: Innovator in Key Phrase Extraction and Sentiment Analysis
Introduction
Naomi Zeichner is a prominent inventor based in Tel-Adashim, Israel. She has made significant contributions to the fields of natural language processing and sentiment analysis. With a total of two patents to her name, Naomi is recognized for her innovative approaches to key phrase extraction and sentiment lexicon expansion.
Latest Patents
Naomi's latest patents include a "System and method for automatic key phrase extraction rule generation." This invention involves a method, system, and non-transitory processor-readable storage medium designed for automatic key phrase rule generation. The process includes receiving a corpus sample with multiple documents, identifying key phrases related to the text, assigning parts of speech to each word, generating part-of-speech patterns, and ultimately creating key phrase rules.
Another notable patent is the "System and method for sentiment lexicon expansion." This invention focuses on expanding a sentiment lexicon by receiving a domain-specific corpus and a generic sentiment lexicon. The system parses the words in the corpus into dependency relations, identifies sentiment candidates, filters them based on performance thresholds, and adds successful candidates to the generic lexicon after qualitative evaluation.
Career Highlights
Naomi Zeichner is currently employed at Nice Ltd., where she continues to develop innovative solutions in her field. Her work has garnered attention for its practical applications in enhancing text analysis and understanding sentiment in various domains.
Collaborations
Naomi collaborates with talented individuals such as Victor Shafran and Inna Achlow, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Naomi Zeichner's contributions to key phrase extraction and sentiment analysis highlight her role as a leading inventor in her field. Her patents reflect a commitment to advancing technology and improving the understanding of language processing.