Interview question: Which programming language is better for text analytics, Python or R?

Any person who is going to attend an interview that concerns working with text may be asked the following question: Which programming language is better for text analytics, Python or R? In this post I will endeavour to answer the question.

Text analytics combines a set of machine learning, statistical, and linguistic techniques to process large volumes of unstructured text that does not have a predefined format, to derive insights and patterns. It enables businesses and researchers to to make decisions regarding the text that they use. Text analytics uses a variety of techniques, such as sentiment analysis, topic modelling, named entity recognition, term frequency and event extraction.

As at 2020, approximately 59% of the world’s population have internet access. An enormous amount of text data is generated daily in the form of text blogs, tweets, reviews, forum discussions, and surveys. Most customer interactions are now digital, which creates even more text data that needs to be analysed.

Benefits of text analytics include:-

1. It helps businesses to understand customer trends, product performance and service quality.
2. It helps researchers to explore pre-existing literature in a short time…