Human language is an unsolved problem that there are more than 6500 languages worldwide. The tons of data are generated every day as we speak, we text, we tweet, from voice to text on every social application and to get the insights of these text data we need technology as Text Stemming In NLP. If you know there are two types of data are there one is structured and unstructured data. Structured data used for Machine learning models and unstructured data is used for Natural language processing. There are only 21% of structured data is available, so now you can estimate how much Text Stemming In NLP is required to handle unstructured data.
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