Text analytics has gained lots of traction in these days. As humungous amount of data is generated in textual form, especially from social media applications, it has become imperative to use these data for gaining valuable insights, especially in the field of business analytics.
Text analytics involves various processes to extract meaningful insights from unstructured text data. Here are the seven steps typically involved in text analytics:
My Topics for next term –
In this term we are going to study four new subjects and i hope this will have faster and steeper learning curve. These subjects are –
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Cyclic way for data analytics processes.
CRISP-DM stands for Cross Industry Standard Process for Data Mining. It’s a widely used framework in the field of data analysis and data mining, providing a structured approach to guide professionals through the stages of a data-centric project. Here’s a brief overview of the six main stages within the CRISP-DM process:
This is my first post. It provides details about me, my skills and achievements as well as also gives a brief description about data analytics in my views.