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Taxonomy deep dive
The document discusses improving content categorization accuracy using taxonomies. It describes the goal of the IAB taxonomy working group to create an enhanced taxonomy that enables more accurate and consistent content description to facilitate relevant advertising. The document compares the Sprig and IAB taxonomy structures and notes they are designed for advertising rather than classifying news content. It proposes using IPTC-IAB taxonomy mapping and deep learning as a solution to better classify news while acknowledging limitations of existing IAB categories.
Taxonomy deep dive
- 1. Taxonomy: Deep Dive Presentedby :Chinmay Panda Date :25-03-2019 Product Innovation Session 3
- 2. Problem statement Improve IAB2.0 categorisation accuracy
- 3. Taxonomy Structures Sprig; Acomplete list of content categories returned for the ‘classifyText’ method are shown below. The Natural Language API filters the categories returned by the ‘classifyText’ method to include only the most relevant categories for a request. IAB- “The working group was conscious that the taxonomy should be leveraged by publishers and advertisers to describe the topical “aboutness” of content with the primary purpose of facilitating relevant, brand safe, and effective advertising. “ The goal for the group was to create an enhanced and more powerful taxonomy, enabling content creators to more accurately and consistently describe content, facilitating more relevant advertising and providing a higher quality and more granular foundation for data analysis.
- 4. Taxonomy Structures Sprig: “A completelist of content categories returned for the ‘classifyText’ method are shown below. The Natural Language API filters the categories returned by the ‘classifyText’ method to include only the most relevant categories for a request.” IAB: “The working group was conscious that the taxonomy should be leveraged by publishers and advertisers to describe the topical “aboutness” of content with the primary purpose of facilitating relevant, brand safe, and effective advertising. “ The goal for the group was to create an enhanced and more powerful taxonomy, enabling content creators to more accurately and consistently describe content, facilitating more relevant advertising and providing a higher quality and more granular foundation for data analysis.
- 5. So Lets UnderstandContent
- 7. How to classifyNews?
- 8. IPTC MediaTopics “The IPTC isthe global standards body of the news media. We provide the technical foundation for the news ecosystem.”
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- 11. The answer liesin what they miss
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- 13. The crux ofthe matter is ❏ Taxonomy Structures are designed to classify content, not news/information ❏ Publisher in advertising means content publisher, not news publisher ❏ IAB & Sprig both are designed to cater to advertising, not news webpage ❏ It also explains why contextual keyword types have always struggled in News domains
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- 15. Solution IPTC MediaTopics IPTC - IAB Mapping (Custom) URLIABPublisher Advertiser Contextual product
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- 18. Everyone knows thelimitations of IAB categories, So let’s keep that aside and try to achieve the maximum accuracy level with the current structure. The more important question is
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- 20. Deep Learning Solution (To bepresented in P.I.S-4)
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