People to Follow in the field of Natural Language Processing (NLP)

Overview Text analytics is becoming easier with many people working day and night on each aspect of Natural Language Processing We list a set of people to follow in the field NLP Feel we should include anyone else? Let us know!   Introduction Natural Language Processing has made unstructured text data analysis simpler. With numerous applications, NLP is affecting and adding values to millions of lives. But the problem NLP practitioners face is catching up with the changes that happen […]

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How Search Engines like Google Retrieve Results: Introduction to Information Extraction using Python and spaCy

Overview How do search engines like Google understand our queries and provide relevant results? Learn about the concept of information extraction We will apply information extraction in Python using the popular spaCy library – so a lot of hands-on learning is ahead!   Introduction I rely heavily on search engines (especially Google) in my daily role as a data scientist. My search results span a variety of queries – Python code questions, machine learning algorithms, comparison of Natural Language Processing […]

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Introduction to Computational Linguistics and Dependency Trees in data science

Introduction In recent years, the amalgam of deep learning fundamentals with Natural Language Processing techniques has shown a great improvement in the information mining tasks on unstructured text data. The models are now able to recognize natural language and speech comparable to human levels. Despite such improvements, discrepancies in the results still exist as sometimes the information is coded very deep in the syntaxes and syntactic structures of the corpus. Example – Problem with Neural Networks For example, a conversation […]

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