Normalized form is defined as a process that is used to convert data into a standard format. This standard format allows for easier comparison and analysis of the data. Normalized form can be applied to both structured and unstructured data.
There are several benefits of normalized form, including:
- Reduced complexity: By reducing the amount of variability in the data, normalized form makes it simpler to compare and analyze the data.
- Increased accuracy: When data is converted into a standard format, errors are less likely to occur. This increases the accuracy of the results.
- Enhanced efficiency: Normalized form can improve the efficiency of text analytics processes by making it easier to extract and process the data.
In addition to the benefits listed above, normalized form can also be used to improve the quality of the data. By reducing the amount of variability in the data, normalized form can help to identify errors and outliers.
Normalized form is often used in conjunction with other methods, such as stemming and lemmatization. Stemming is a process that reduces words to their base form, while lemmatization reduces words to their root form. These processes can help to improve the accuracy of the results by reducing the number of variations in the data.
Procedure to achieve normalized form
Procedure may vary depending on the type of data being normalized. For example, if you are normalizing addresses, you would need to account for different address formats ( such as street names that are spelled differently in different parts of the world). However, the basic principle is the same: to convert the data into a standard format.
Who benefits normalized form
Normalized form can be beneficial for both individuals and businesses. For individuals, normalized form can make it easier to compare and analyze data. For businesses, normalized form can improve the efficiency of text analytics processes and help to identify errors and outliers.