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.
Sentiment analysis, also known as opinion mining, is the process of computationally identifying and categorizing the subjective information contained in natural language text. Spark NLP’s deep learning models have achieved...
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....
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....
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