Text Analytics with ChatGPT

Author(s): Manfye Goh

Originally published on Towards AI.

Is the traditional NLP technique still relevant?

Photo by Bermix Studio on Unsplash

Text analytics, or text mining, has emerged as an essential technique for extracting valuable insights from vast amounts of unstructured textual data. It involves processing and analyzing text to uncover patterns, trends, and relationships, enabling businesses, researchers, and organizations to make informed decisions based on data-driven insights. As the volume of unstructured text data continues to grow exponentially, the need for accurate and efficient text analytics tools has become increasingly critical across various domains, such as marketing, finance, healthcare, and social sciences.

Traditionally, text analytics has been carried out using rule-based methods and machine-learning techniques such… Read the full blog for free on Medium.

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Published via Towards AI