Dawn Anderson
Managing Director - Bertey
Read more about Dawn

Using Topic Modelling Frameworks To Win Big With NLP & Semantic Search

Las Vegas 2018 | 4 - 7 November 2018 | 15:00

Disambiguation is one of the biggest challenges still for search engines and one of the ways in which we can help dramatically is to utilise co-occurrence and topic-modelling frameworks to assist with algorithms driven by natural language processing. You shall know a word by the company it keeps is a well know Firthian quote and we’ll look into how using relatedness and semantics in your website framework and structures can make a site fly on its own.

We’ll look at modern practitioner strategies as well as some of the grounded theories from academia. Markov Chains, Linguistics and Co-Occurrence Vectors will feature.

Takeaways:

Learn about some of the latest research in natural language processing and how you can utilise this to get ahead of the game
A framework to use on your projects
Learn about the different types of structured, semi-structured and structured data to use in your site
Learn how to pass further cues when topics, products, categories or subcategories overlap and avoid cannibalisation

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