MonkeyLearn’s free word cloud generator is powered by AI to deliver optimum results. Not only will you see how often words appear, but also how relevant they are. You might also notice phrases (words that often go together) in your word cloud, which help you better understand the context of your data.
But why not take your analysis even further and combine keyword and sentiment analysis?
In this article, we’ll show you how to quickly sort your text data into positive, negative, or neutral, and detect keywords, using MonkeyLearn Templates.
Select the keyword and sentiment analysis template, a great place to start when you are analyzing text data. Think of this template as the next step up from building a word cloud.
If you don't have a CSV, you can use our sample dataset.
In this template, there is only one field: text. If you have more than one column in your dataset, choose the column that has the text you would like to analyze.
Notice the word cloud that has been generated. However, the beauty of this data visualization dashboard is that you can filter by sentiment or keyword. Now, share the results with your co-workers.
Here is the dashboard filtered by positive sentiment:
As you can see, the word cloud frequently contains words like “zoom”, “friend”, and “app”.
But what about negative sentiment?
To find out, filter your data by negative sentiment:
In this case, Zoom reviews with negative sentiment contain common words like “meeting”, “sound”, and “time”.
Now, click on individual keywords on the left-hand side to see how your word cloud changes. Here, we clicked on “meeting” along with the negative sentiment filter.
Now we can start to understand that the most frustrating problem for Zoom users is the “sound”. Other aspects like “camera”, “chat”, and “profile pictures”.
Learning what customers like and don’t like about your brand can help you get insights that go beyond word frequency, and can even lead to informed decision-making.
Creating word clouds using sentiment analysis data helps visualize how topics are mentioned in your data.
If you want to gain even more granular insights, you can use other text analysis tools, like topic classification.
Sorting your data by topic and sentiment is called aspect-based sentiment analysis and shows you how customers feel about specific aspects of your business.
MonkeyLearn Data Studio is an all-in-one solution that takes you all the way from text analysis to data visualization. Thanks to its intuitive no-code interface, you can easily perform tasks like sentiment analysis, topic analysis, and keyword extraction, and visualize insights through word clouds and charts.
Request a free demo and start using your data to its full potential.
October 1st, 2020