Analytics is the discovery, interpretation, and communication of actionable insights from big data. At LinkedIn, we have a company-wide Analytics team with 150+ super talented data analysts and data scientists. Our mission is to drive understanding and impactful decision-making through rigorous use of data. Our analytics is deeply tied to core modules of our...

This is the second post of a two-part series about Voices, a text analytics platform built by LinkedIn. Part I gives a general overview of Voices, while Part II will go into further detail about the technical aspects of topic mining specifically. Topic mining, also known as topic modeling, is the technique of extracting the most important concepts from a...

In the era of big data, corporations and businesses are increasingly collecting immense amounts of unstructured data in the form of free text, from customer service conversations to market research surveys. While it is clear that such member feedback, or “Voice of the Member” (VOM), contains valuable information, it is often less clear how to best analyze such...