Content Curation

Content Curation is the process of finding, selecting, modifying, and organizing content from different sources. Having more content is easy. Curation allows us to face the real challenge: better content.

At 3.14 we develop Content Curation solutions tailored to each client's goals. Depending on the needs of the project,  we combine Natural Language Processing (NLP), intelligent search engines and information classification systems. 

Benefits of Content Curation

At a time when the amount of content is overwhelming, the quality of content is key. Our Content Curation systems help to create:

• More reliable content
• More complete content
• More relevant content
• More attractive content
• More effective content

At a time when the amount of information is overwhelming, the quality of content is key.

Content Curation leads to significant time and money savings. Curation systems are capable of handling large amounts of information very quickly. In fact, their speed and efficiency are unattainable for a human being.

At the same time, the automation of these processes allows content experts to focus on highest-value tasks.

Content Curation process

An efficient content curation system should include several differentiated processes.

• Identifying: The first step is to find interesting information about the desired topic. To improve the accuracy of this process, it is essential to use semantic search engines, which are able to understand the contextual meaning of terms.
• Filtering: Content can be selected according to different criteria: source reliability, popularity, third-party recommendations, users’ search history ... Faceted search can provide the necessary flexibility for this process.
• Extracting: The next phase is to extract the most relevant information. By using advanced Natural Language Processing (NLP) solutions, it is possible to identify the key concepts. 
• Organizing: Content should be grouped as clearly as possible. It is essential to have a rich and custom taxonomy in order to properly categorize and relate information.
• Contextualizing: Once selected and organized, information should be contextualized. Again, intelligent search engines, Natural Language Processing and information classification systems increase the accuracy of this task.
• Transforming: A good Content Curation system must also make it possible to modify the content according to the needs of each project.
• Sharing: The system should also allow users to publish or share content.

Without neglecting any step, we firmly believe that the real differential value of Content Curation lies in the content selection process. By placing the focus on the detection of key information, we are able to develop intelligent solutions that fit the goals of each company.