Types of text display
The first part of this blog describes the types of text visualizations you need to know if you want to use data visualization in your business. Different text display techniques are suitable for different scenarios; Therefore, understanding their use is crucial to their successful implementation.
word clouds represent text data and display words in different sizes, with larger sizes indicating higher frequency or greater importance. This text display technique provides a quick and intuitive way to identify common terms in the text corpus. One obvious use of word clouds is in content analysis, where a product researcher or SEO analyst wants to see which words appear most frequently in a given section of text. Other uses include social media analytics, where businesses review posts to find information relevant to their brand or products.
These text visualizations help you analyse the relationships between multiple variables. Heatmaps show the similarity between different items by showing similar terms in a similar colour. Using multiple shades of colour, heatmaps can distinguish between similar and dissimilar terminologies. Heatmaps are mainly used to check which area of the page users click on most often. Likewise, it can be used for customer geographic locations to show location data of the most popular stores.
scatterplots are similar to heat maps, but instead of showing different elements using colour boxes, they show them as nodes. These nodes can then be visualized and inserted to show connections, or plotted on a graph to find correlations between all items. The most common use of scatterplots is to create text visualizations that can be easily interpreted to find correlations between units, such as to identify outliers.
web views use nodes and edges to represent relationships between entities such as words, subjects, or authors. They reveal associations, coexistence and dependencies within text data and provide insight into the underlying structures. Network diagrams are a great way to visualize how everything is connected. They are used to verify customer or website user connectivity with social media and their relationship to each other. The most common application is SEO, where search engine rankings and information dissemination can be measured using links.
Treemaps is a text visualization tool that shows hierarchical structures of text data. They show how different topics or categories fit together and provide a clear view of how information is organized and distributed. The most important application of treemaps as an information visualization technique is to show the market shares of competing brands and companies. Such illustrations help managers to understand the competition and the position of the company in one picture. Treemaps also help you to outline the most popular pages on your website and those that require the most attention.
These data visualizations show the frequency distribution of specific terms or topics in a data set. They make it easier to compare and identify the most common or most relevant items. It best represents discrete data in easy-to-understand rectangular units, which can then be sorted in ascending or descending order. Survey results and feedback forms based on final results can be easily presented using bar charts, which remain a popular way of visualizing data.
These data visualizations are based on the latest natural language understanding methods, which place the context and meaning of words in vector space to show their correlation. Each entity or word is represented in this vector space by assigning them absolute coordinates that are represented according to their similarities and contextual proximity. Nearer objects are similar, while more distant objects are less likely. Word embedding is a relatively new technique that allows companies to understand a body of text and its relationships.