Natural language processing (NLP) is a field of computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages. As its name suggests, NLP is about developing techniques to process and analyze large amounts of natural language data. NLP is an important field because it helps us to better understand human communication. By developing algorithms that can automatically process and analyze language data, we can gain insights that would not be possible through manual methods. Additionally, NLP can be used to build applications that humans can interact with more easily and efficiently, such as chatbots and voice-activated assistants. There are many benefits to learning natural language processing. Here are just a few: NLP can help you to better understand human communication. NLP can be used to build applications that humans can interact with more easily and efficiently. NLP can help you to automate tedious tasks such as information extraction from unstructured text data. NLP can improve the usability of search engines and other information retrieval systems. Learning NLP can open up career opportunities in a variety of industries, including software development, data science, and marketing. NLP is an interdisciplinary field, which means that it draws on knowledge from a variety of disciplines, including linguistics, computer science, artificial intelligence, and psychology. NLP is a rapidly growing field with exciting new research being published all the time. We have designed this course such a way that, as a practitioner you will learn the core topics described below: A Collection of Important Sections to help you understand the uniqueness of Text data and the methods to process it: In the Learning Journey, you will the Important Topics in Text Processing like : Text Preprocessing Working on NLP pipeline Tokenization Stemming Lemmatization Word Embeddings NLP Pipeline for various tasks Named Entity Recognition Text Summarization
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