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Content by Gursev Pirge

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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.

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The Normalizer annotator in Spark NLP performs text normalization on data. It is used to remove all dirty characters from text following a regex pattern, convert text to lowercase, remove...

Sequence classification with transformers refers to the task of predicting a label or category for a sequence of data, which can include text as well as other types of data...

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...

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,...
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