SharePoint content classification is the process of assigning categories, tags or metadata to your SharePoint documents and items so that they can be easily searched, filtered and organized by their contents. This helps in several ways such as improving discoverability of relevant information, reducing time spent on searching for specific data, enhancing collaboration among team members, and ensuring compliance with organizational policies.
To achieve effective content classification in SharePoint, you need to follow best practices for data organization. Here are some tips:
- Identify the purpose: Before you start classifying your content, determine the purpose of classification. Is it for search, audit or compliance purposes? This will help you decide which features to use and how to implement them.
- Determine the scope: Decide what type of content you want to classify. It could be documents, items, lists, libraries or even entire sites. The scope will depend on your organizational needs and goals.
- Choose a classification scheme: SharePoint supports several types of classification schemes such as categorization, tagging, and keyword extraction. You can use one or a combination of these schemes depending on the nature of your content.
- Set up metadata columns: Create custom metadata columns in your SharePoint list or library to store relevant information about each item. This could include categories, tags, ratings, comments, or any other type of metadata that is relevant to your organization.
- Use managed metadata: SharePoint’s managed metadata feature allows you to create a hierarchical taxonomy and assign it to multiple lists or libraries. This enables you to classify content at different levels of granularity.
- Implement keyword extraction: SharePoint’s keyword extraction feature uses natural language processing (NLP) to identify the most important keywords in each document. These keywords can then be used for search, filtering, and other purposes.
- Train your model: SharePoint’s machine learning algorithms need training data to learn from. Provide a set of labeled documents to train the model, so it can recognize patterns and relationships in your content.
- Use analytics: SharePoint provides various analytics features such as search queries, page views, and click-through rates. These insights can help you refine your classification scheme, improve discoverability, and optimize your SharePoint site for better user experience.
- Collaborate with end-users: Involve end-users in the process of content classification. They are the ones who understand their content best, so they can provide valuable input on what metadata columns to create, how to categorize documents, and other aspects of content classification.
- Monitor and adjust: Classification is not a one-time task; it’s an ongoing process. Continuously monitor your classified data for accuracy, completeness, and relevance. Make adjustments as needed to ensure that your classification scheme remains effective over time.
Some of the key features in SharePoint that support content classification include:
- Managed metadata: This feature allows you to create a hierarchical taxonomy and assign it to multiple lists or libraries.
- Keywords extraction: This feature uses NLP to identify the most important keywords in each document.
- Content organizer: This feature enables you to automatically categorize documents based on their contents using machine learning algorithms.
- Search: SharePoint’s search engine is powerful enough to find relevant content even when it’s classified under different categories or tags.
- Analytics: SharePoint provides various analytics features that can help you refine your classification scheme and optimize your site for better user experience.
By following best practices for data organization and using these features within SharePoint, you can create a well-organized and easily searchable repository of information that meets the needs of your organization.