Organizing unstructured data – using AI for automated text categorization and data classification
In the context of data classification, a trained LLM can analyze the various features in the dataset and classify data accurately. For instance, if the task is to categorize customer complaints into predefined classes, such as billing issues, technical issues, customer service issues, and so on, an LLM can analyze the text of the customer complaints, understand the context and the language used, and classify them into the respective categories accurately.
In many cases, the LLM should be able to make an accurate classification without the need for any training. However, in some cases, it will need to have some examples to understand the pattern that you want.
Typical uses of data classification include the following:
- Distinguish between the different categories of data and assign each data point to its suitable category. Some examples are as follows:
- Classifying incoming...
