A Beginner’s Guide to Exploratory Data Analysis (EDA) on Text Data (Amazon Case Study)
The Importance of Exploratory Data Analysis (EDA)
There are no shortcuts in a machine learning project lifecycle. We can’t simply skip to the model building stage after gathering the data. We need to plan our approach in a structured manner and the exploratory data analytics (EDA) stage plays a huge part in that.
I can say this with the benefit of hindsight having personally gone through this situation plenty of times.
In my early days in this field, I couldn’t wait to dive into machine learning algorithms but that often left my end result hanging in the balance. I discovered, through personal experience and the advice of my mentors, the importance of spending time exploring and understanding my data.
I found this to be true even for text data in Natural Language Processing (NLP) projects. We need to perform investigative and detective analysis of our data to see