Company Filing History:
Years Active: 2018-2020
Title: Victor Shafran: Innovator in Text Normalization and Sentiment Analysis
Introduction
Victor Shafran is a notable inventor based in Ramat Gan, Israel. He has made significant contributions to the fields of text normalization and sentiment analysis, holding a total of 3 patents. His work focuses on improving the accuracy and efficiency of processing textual data in various applications.
Latest Patents
One of Victor's latest patents is titled "System and method for text normalization in noisy channels." This invention involves systems and methods that receive a text entry along with channel origin data. It determines whether the text entry matches an in-vocabulary (IV) entry or is an out-of-vocabulary (OOV) entry. If the text entry matches an IV entry, it outputs the matching entry. If it is an OOV entry, the system implements a channel-specific error-type adapter framework optimized for the specific channel, normalizing the text entry and outputting candidate normalized forms.
Another significant patent is "System and method for sentiment lexicon expansion." This invention processes a domain-specific corpus and a generic sentiment lexicon. It parses the words in the corpus into dependency relations and identifies sentiment candidates using syntactic dependency rules. The system filters out candidates with expected performance below a predefined threshold and samples the remaining candidates for qualitative evaluation. Successful candidates are then added to the generic sentiment lexicon.
Career Highlights
Victor Shafran is currently employed at Nice Ltd., where he continues to innovate and develop new technologies. His work at Nice Ltd. has positioned him as a key player in the field of text processing and sentiment analysis.
Collaborations
Victor collaborates with talented individuals such as Hila Weisman and Peter Izsak, contributing to a dynamic and innovative work environment.
Conclusion
Victor Shafran's contributions to text normalization and sentiment analysis demonstrate his commitment to advancing technology in these fields. His patents reflect a deep understanding of the challenges in processing textual data and offer innovative solutions to enhance accuracy and efficiency.