Q: What are some of the common use cases of natural language processing?
A: Natural Language processing is branch of Machine learning algorithms that process text data to produce meaningful insights. A few of the common use cases of NLP are answering questions asked by the user, sentimental analysis, language translation to a foreign language, search engines, and document classifications. The key point to understand here is that if you want to perform analytics/machine learning on data represented by text/sentences/word format, NLP is the way to go.
Q: How is feature extraction relevant to NLP?
A: Machine learning algorithms work on mathematical forms. Any other forms, such as Text, need to be converted into mathematical ...
