A Researcher and Data Scientist with demonstrated success delivering innovative policies and machine learning algorithms, having strong statistical skills, and presenting to all levels of leadership to improve decision making. Experience in Education, Logistics, Data Analysis and Data Science. Strong education professional with a Doctor of Philosophy (Ph.D.) focused on Mechanical Engineering from Boğaziçi University.
Rule-based sentiment analysis in Natural Language Processing (NLP) is a method of sentiment analysis that uses a set of manually-defined rules to identify and extract subjective information from text data....
Word embeddings are considered as a type of representation used in natural language processing (NLP) to capture the meaning of words in a numerical form. They are essentially a way...
Vector representations of texts longer than a word in natural language processing (NLP) refer to representing a sequence of words, chunks, or sentences as a vector in a high-dimensional space....
State-of-the-art performance for table-based question answering tasks Question answering is a field of natural language processing that involves developing algorithms and systems capable of answering questions posed in natural language....
Training a NER model from scratch with Python Named Entity Recognition is a Natural Language Processing technique that involves identifying and extracting entities from a text, such as people, organizations,...
Demos
See More