I am new to the whole world around Big Data and Text Mining.
It took me a while to understand all the connections and to be able to classify the buzzwords.
But there's one thing I still don't understand. The connection between NLP, text mining and tasks like tokenization, lemmatization, stop-word removal etc..
I refer to these two papers for example:
how do I connect this?
- Tasks like tokenization, lemmatization etc. are tasks of NLP
- and NLP is an application field of text mining
- Tasks like tokenization, lemmatization etc. are tasks of Text Mining
- which find their usage in NLP?
Can someone explain this to me?