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Frequently Asked Questions
Why use Python for natural language processing (NLP)?
The transparent semantics and syntax of Python make it an excellent choice for natural language programming operations. Moreover, developers enjoy excellent integration support with other languages and tools that come in handy for complex ML projects.
What is natural language processing (NLP)? Why is this important?
Natural language processing is the ability of a computer to interpret human language in its original form. It is of vital importance in artificial intelligence as it takes real-world input in fields like medical research, business intelligence, etc., to analyze and offer outputs.
Which NLP languages are the easiest to learn?
Python is the easiest to learn. Although there are other NLP languages available, Python trumps as it is the only language that enables you to perform complex NLP operations in the easiest way possible.
In which areas can NLP be useful?
NLP finds applications in fields like market intelligence, voice assistants, sentiment analysis, data analysis, text analytics, etc.
What language is best for NLP?
Experts recommend Python as one of the best languages for NLP as well as for machine learning and neural network connections.
How to implement NLP techniques?
Using Python, NLP techniques can be implemented in just a few lines of codes, thanks to open-source libraries like NLTK and spaCy.