At LinkedIn, our engineering teams are constantly working to keep the company at the cutting edge of innovation to deliver value for our members and customers. We recognize that many innovations are happening within academia and partnering more closely with them will strengthen our ability to research, ideate and accelerate the value we are able to deliver to...
nlp Articles
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- Topics:
- artificial intelligence,
- Recommender Systems,
- nlp
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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...
- Topics:
- Data Mining,
- nlp
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Background LinkedIn’s FeatureFu project is a new open source toolkit designed to enable creative and agile feature engineering for most machine learning tasks such as statistical modeling (classification, clustering, and regression) and rule-based decision engines. In this blog post, we will detail the design and implementation of Expr in FeatureFu, provide...