TRAC: Word Clouds

This article offers an in-depth exploration of the various Word Clouds in TRAC and their significance within your datasets.

Ashvin Jalabhay avatar
Written by Ashvin Jalabhay
Updated over a week ago

Learning Outcomes

  • You will learn where you can find Word Clouds within TRAC.

  • You'll gain a thorough understanding of the information presented in the Word Cloud visuals and how they can be utilised to your advantage.

What is a Word Cloud?

The Word Cloud visual in TRAC provides an invaluable overview of the most commonly occurring Keywords, Topics, Hashtags, and Entities related to your search. Beyond mere frequency, it offers a deeper understanding of the emotion and sentiment associated with these words, allowing you to fine-tune your content strategy.

We display this in two ways:

Our Word Clouds employ advanced machine learning algorithms to identify the emotion or sentiment attached to each keyword, topic, hashtag, and entity. The visual representation of these associations is achieved through colour coding, with different colours signalling different emotions and sentiments. Additionally, the size of each word is proportional to the volume of conversations in which it appears, making it easy to gauge its significance.

Adding these kind of charts to your analysis can be invaluable. By incorporating emotion and sentiment analysis, the Word Cloud enables you to discern which keywords or hashtags are more likely to resonate with your target audience or, conversely, which ones to avoid.

You can find Word Clouds within the following pages on TRAC:

Now that we've introduced Word Clouds, let's discuss the different type of Word Clouds that you can find in some more depth:

Hashtag Word Clouds

The Hashtags Word Cloud chart showcases the most prevalent hashtags being used in your search, together with the sentiment and emotion underlying them. The larger a hashtag appears, the more frequently it occurs within the dataset.

Consider, for example, a Word Cloud of Hashtags connected to coffee, based on both sentiment and the five core emotions. The size of each hashtag correlates directly with its number of occurrences. By simply hovering over a hashtag, you can view the precise number of times it appears in the dataset.

πŸ’‘ Top Tip: Moving your cursor over any hashtag discloses the quantity of posts featuring that hashtag, as well as the associated sentiment.

Keyword Word Clouds

The Keywords Word Cloud chart exhibits the most common keywords from your search, as well as the sentiment and emotion associated with each. Like the Hashtags chart, the size of a keyword is directly linked to its frequency within the dataset.

Topic Word Clouds

The Topics Word Cloud chart presents the most recurrent topics in your search, accompanied by the sentiment and emotion tied to each. The larger the topic, the higher the volume of mentions it garners within the subject matter.

Entities Word Clouds

The Entities Word Cloud uncovers the most common people or organisations relevant to your search, while also offering insight into the sentiment and emotion behind them. A larger entity signifies a greater volume of mentions, reflecting its prominence in the dataset.

πŸ“ˆ Example: In the Word Cloud above you can see that there are some key players such as Starbucks are mentioned in relation to the online conversations happening around coffee. This can help to elucidate the key players in the coffee industry.

πŸ“ Note: For a Word Cloud to populate, words must be mentioned at least 20 times within your search results, and there must be more than one word appearing over 20 times.

We hope you enjoyed reading this article! πŸ“š

If you have any questions or would like to learn more, please don't hesitate to reach out to our support team via live chat. πŸš€


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