In the text analytics industry, category tree is a process of organizing topics into a tree-like structure. The leaves of the tree represent the most specific topics, while the root represents the most general topic. This method is often used to visualize relationships between topics.
One advantage of using a category tree is that it can help to make sense of large amounts of data by breaking it down
Constructing Category Tree
Category trees can be constructed in a number of ways, the most common of which is by using a top-down or bottom-up approach.
In a top-down category tree, the root is defined first and subsequent levels are added beneath it. This approach is often used when there is an existing hierarchy that can be used as a starting point. For example, when constructing a category tree for customer complaints, an organization might start with broad categories such as “billing” and “shipping” and then add more specific sub-categories beneath them.
In a bottom-up category tree, the leaves are defined first and higher levels are added above them. This approach is often used when there is no existing hierarchy to use as a starting point. For example, when constructing a category tree for customer complaints, an organization might start by identifying specific complaints such as “I was overcharged” and “my order never arrived.”
Category Tree Codes Used
Category trees are often used in conjunction with other methods, such as latent Dirichlet allocation (LDA), to automatically organize documents into topics. In LDA, a set of documents is first represented as a bag of words. A category tree can then be constructed from the bag of words, which can be used to help interpret the topics generated by LDA.
There are a number of different ways to represent a category tree, the most common of which is as a dendrogram. A dendrogram is a graphical representation of a category tree that shows the relationships between the nodes. The length of the lines connecting the nodes represents the degree of similarity between the nodes.
Category trees can also be represented as a tree map. A tree map is a graphical representation of a category tree that shows the relationships between the nodes using colors and sizes. The colors represent the categories, while the sizes represent the relative importance of the nodes.