Learning Outcomes
Learn about the valuable insights that the keywords subpage within content insights can offer you.
What is the Keywords Subpage?
The Keywords subpage is designed to provide visuals that highlight key insights based on the keywords within your TRAC searches. This can be particularly helpful when you're trying to analyse large amounts of data or information, as it allows you to identify patterns and trends related to the specific keywords being commonly surfaced within the conversations happening in your searches.
Treemap by Data Source
The "Keywords Treemap by Data Source" showcases your dataset's most frequently used keywords. In this visualisation, each keyword is represented by a tile, with the tile's size representing the frequency or importance of the keyword. The treemap is also segmented based on the data sources present within your search.
This treemap can reveal patterns and relationships between different keywords and data sources.
📈 Example: Consider the screenshot below. From this treemap, you can draw two key conclusions about the crypto conversation:
X dominates the conversation, suggesting that it is the primary platform for discussing crypto, as evidenced by the significant volume of discussion taking place there.
The keywords 'gin', 'tonic', 'frutos', and 'rojos' frequently appear together, indicating that they are related and should be considered together in content marketing strategies or SEO optimisation.
💡 Top Tip: You can also change the view to examine the most prevalent emojis within your dataset.
Keyword Segments
"Keyword Segments" cluster keywords commonly used in posts within your search. These segments can help provide content recommendations, such as direction for creating content centred around the primary subject areas recognised in the visual.
Using segments, you can examine and analyse the keywords commonly used together in your search to inform your campaigns.
Sentiment Word Cloud
A Word Cloud is a visual representation of text data, where the size of each word corresponds to its frequency or importance within the text, and the colouration of the keyword indicates the sentiment attributed to it.
In the example below, the keyword 'crypto' features prominently within this search. However, based on the sizing of the keywords, you can see that posts with positive and neutral mentions appear more frequently than negative mentions.
Emotion Word Cloud
The "Keywords Emotion Word Cloud" serves the same purpose as the sentiment word cloud, with one key difference: it displays the most common keywords within posts based on the emotional tone they convey.
For instance, you can see here that 'crypto' is most commonly mentioned within a joyful context, whereas keywords such as 'ridiculous' and 'wtf' are mentioned with undertones of anger.
📝 Note: The same keyword may be detected multiple times in the word cloud, but based on the emotional analysis of the content the topic has been extracted from, it will have a different emotion score.
Stream
The "Keywords Stream" is used for analysing the usage of the top ten keywords in a conversation or dataset over a given period. This is particularly useful for identifying trends and patterns of top keywords usage, and identifying when individual keywords are more or less prevelant within the conversation.
Bundle
The "Keywords Bundle" is used for analysing the relationships between specific keywords within your dataset. It works by identifying the frequency and proximity of keywords that appear together and visualising these connections.
If a particular keyword interests you, you can click on it and see the connections with other keywords. This deeper understanding of keyword relationships can help inform your content creation and communication strategies.
We hope you enjoyed reading this article! 📚
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