How to Use Python to Turn Unstructured Data Into Structured Data

Tons of data are being generated today, and arranging that info in a readable way is a tough nut to crack. The way in which unstructured figures are piling up makes it very tricky for us to create structured information. Therefore, one requires to have a proper skill set to execute these filters quickly and efficiently. The following steps will assist you in figuring out the right way to do it.

Define Type System

The very step towards structuring data is defining the relationship between the various types of data you are collecting. Classify the entities to figure out which of them have multiple roles and which entities may fall into a similar category. These things will assist you in figuring out the right groups of all the figures presented in front of you.

If your type of system is very complex, you would require a data science expert who has taken advanced , as structuring these types of complex figures requires expertise in the field.

Annotation

This step is indeed crucial in structuring data. Annotation can be as easy as highlighting and marking the entity and then matching it to any entry or the reference you want to associate it with. You can also add co-references into a particular data if you wish to do it. After defining the type system, you would be required to sort the figures according to their length. Texts that may fall between a paragraph to around 2000 words can be separated.

This set of data is arranged in packets that need to be distributed to a network of annotations, who can work on it. Moreover, the conflict that may happen due to overlapping or mixing figures can be resolved by a set of guidelines that you need to prepare for annotations.

Design a Pre-Annotator

Upon completing the annotation process, you may encounter some common styles of annotation in your document. You may be wondering if there was any way in which you could automate these patterns and execute them in one go. Here is the instance where the pre-annotator comes into the picture. The pre-annotator is a tool to create your pattern of annotations and automate the process. The annotations made by these pre-annotators can also be modified if you encounter any issues with them. Here are a few things that you need to do to set a pre-annotator.

Create a Dictionary

Create an array of all the words that you want to associate with a particular type of entity. For instance, you can automate that whenever there is an occurrence of an umbrella, the annotator should recognize it as a personal utility. Moreover, the user also gets the option to add synonyms to the dictionary. Later, the annotator will detect and structure all the data according to the collection of words in the dictionary, along with their synonyms.

Leave a Reply

Your email address will not be published.