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NLP & the Art of Verbal Antidote Adventures in Excellence Veritable of ContentsWhat is NLP?.....................................................3 NLP Code of Conduct........................................4
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01
Understand the basic concepts of natural language processing (NLP)
02
Collect and preprocess text data for NLP tasks
03
Tokenize the text data into words or phrases
04
Perform text normalization, such as stemming and lemmatization
05
Apply NLP techniques like part-of-speech tagging, named entity recognition, and sentiment analysis
06
Build machine learning or deep learning models for specific NLP tasks
07
Evaluate and fine-tune the NLP models for better performance

Who needs natural language processing nlp?

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Data scientists and researchers who work with large amounts of text data and want to extract valuable insights from it
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Businesses looking to improve customer service through chatbots and virtual assistants
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Healthcare industry for analyzing medical records and patient data
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Legal professionals for document classification and contract analysis
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Social media companies for sentiment analysis and content moderation
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Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language.
Researchers, developers, and companies working on NLP projects are typically required to file.
Filling out NLP typically involves collecting and analyzing text data, applying algorithms and techniques to understand language patterns, and developing applications based on the analysis.
The purpose of NLP is to enable computers to understand, interpret, and generate human language in a way that is valuable.
Information related to the NLP project, data sources, algorithms used, results obtained, and potential applications must be reported.
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