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.
Sentence embeddings are a powerful tool in natural language processing that helps analyze and understand language. Transformers, a type of neural network architecture, are a popular method for generating these...
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....
Unleash the Potential of Your Texts with Powerful Keywords Extraction Using NLP and Python TL; DR: Keyword extraction is the process of automatically extracting the most important words and phrases...
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...
Stopwords removal in natural language processing (NLP) is the process of eliminating words that occur frequently in a language but carry little or no meaning. Removing stop words is useful...
Demos
See More