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Latest From the Blog

SpaCy is a popular tool in Natural Language Processing to extract and analyze the desired information and applies widely in machine learning. SpaCy is developed to facilitate building text analytics pipelines and to process large volumes of text. The object-oriented architecture of this library makes it very effective and easy-to-use. In the following, we discuss five common use cases of spaCy.   Tokenization SpaCy can...
Natural language processing (NLP) is all about how machines can understand human languages to automate the time-consuming human tasks or extract knowledge from the text data to generated actionable insights for business users. To build high-performance NLP & text analytics software, data scientists need to use a wide range of methods such as exploratory data analysis & feature engineering on text data, knowledge engineering,...
In the past ten years, deep learning technologies have gained much popularity due to the availability of large amounts of data with the emergence of social media platforms. Nowadays, deep learning technologies are being applied in various industries, including self-driving cars, aerospace, medical research, industrial automation, and electronics.  In this article, we discuss the technologies & frameworks that are used in the...
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