Natural Language Processing: Python and NLTK
by Nitin Hardeniya, Jacob Perkins, Deepti Chopra, Nisheeth Joshi, Iti Mathur
Summary
In conclusion, there are many NLP applications around us that we interact with in our day-to-day routines. NLP is difficult and complex, and some of these problems are still unsolved or do not yet have perfect solutions. So anybody who is looking for problems in NLP, try exploring the literature around that. It's a great time to be an NLP researcher. In the era of Big Data, NLP applications are very popular. Many research labs and organizations are currently working on NLP applications such as speech recognition, search, and text classification.
I believe we have learned a lot up until this chapter. For the next couple of chapters, we will delve deeply into some of the applications described here. We have reached a point where we know enough ...
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