Best way to create a word cloud – Python vs Power BI /u/Many_Data_1415 Python Education

Hi Team. My company recently switched over to Power BI and I’m trying to create a dashboard for customer reviews contains a word cloud. Originally I tried using ChatGPT to get the answer, but there was a breakdown.

To clean the original set of data I’m using Spyder 5.4.2 with Python 3.8. I’d like to create a word cloud that removes the standard words like “and”, “or”, “but”, just keeps the main words in the PowerBI word cloud. Through ChatGPT and a Google search I saw something about nlkt and stopwords, but I’m unable to get that.

What’s the best way to duplicate the column and remove those fill words? I’m willing to do it in Power BI or while cleaning the data in Spyder. THANKS!!

Hi Team. My company recently switched over to Power BI and I’m trying to create a dashboard for customer reviews contains a word cloud. Originally I tried using ChatGPT to get the answer, but there was a breakdown.

To clean the original set of data I’m using Spyder 5.4.2 with Python 3.8. I’d like to create a word cloud that removes the standard words like “and”, “or”, “but”, just keeps the main words in the PowerBI word cloud. Through ChatGPT and a Google search I saw something about nlkt and stopwords, but I’m unable to get that.

What’s the best way to duplicate the column and remove those fill words? I’m willing to do it in Power BI or while cleaning the data in Spyder. THANKS!!