Preparing a dataset for NLP applications
In this section, we will look at the basic steps that can help you prepare a dataset for NLP or any data science applications. There are basically three steps for preparing your dataset, given as follows:
- Selecting data
- Preprocessing data
- Transforming data
Selecting data
Suppose you are working with world tech giants such as Google, Apple, Facebook, and so on. Then you could easily get a large amount of data, but if you are not working with giants and instead doing independent research or learning some NLP concepts, then how and from where can you get a dataset? First, decide what kind of dataset you need as per the NLP application that you want to develop. Also, consider the end result of the NLP application that you are trying to build. If you want to make a chatbot for the healthcare domain, you should not use a dialog dataset of banking customer care. So, understand your application or problem statement thoroughly.
Note
You can use the following links...
