Expert.ai Case Studies Accelerating Media Categorization via IPTC Taxonomy at Ansa

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	Accelerating Media Categorization via IPTC Taxonomy at Ansa Expert.ai

Accelerating Media Categorization via IPTC Taxonomy at Ansa

Expert.ai

Technology Category	Analytics & Modeling - Natural Language Processing (NLP)
Applicable Functions	Business Operation
Services	Data Science Services
Challenge	Ansa, a leading press agency, was struggling with the heavy volume of news and the speed at which information circulates. Accurate and timely content sorting and categorization were of the utmost importance. The only way to keep up with current events and satisfy the needs of internal organizations was to have a classification system that is fast, uniform, complete and accurate (according to IPTC international standards). Ansa wanted a tool to improve information management, enabling them to better archive daily news and enhance the image search in their online database. Read More
About Customer	Ansa has been one of the world’s leading press agencies for more than 60 years. They provide full coverage of Italian and foreign news with more than 3,500 articles and 900 images transmitted daily to their platforms. The agency is based in Italy and has a large scale of operation, dealing with thousands of news releases daily. Their services are used by various organizations and individuals who rely on them for accurate and timely news. Read More
Solution	Ansa implemented expert.ai technology to automate the categorization of text. This allowed them to deliver precise classification of content to more than 1,200 standard IPTC categories and improve access to information for users. As a result, all content is accurately and uniformly categorized, enabling users to retrieve archived news content and photos through an intuitive, natural language search approach. This has led to faster and more accurate retrieval of images on the ANSA Foto portal. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Natural Language Processing (NLP)

Applicable Functions

Business Operation

Services

Data Science Services

Challenge

Ansa, a leading press agency, was struggling with the heavy volume of news and the speed at which information circulates. Accurate and timely content sorting and categorization were of the utmost importance. The only way to keep up with current events and satisfy the needs of internal organizations was to have a classification system that is fast, uniform, complete and accurate (according to IPTC international standards). Ansa wanted a tool to improve information management, enabling them to better archive daily news and enhance the image search in their online database.

About Customer

Ansa has been one of the world’s leading press agencies for more than 60 years. They provide full coverage of Italian and foreign news with more than 3,500 articles and 900 images transmitted daily to their platforms. The agency is based in Italy and has a large scale of operation, dealing with thousands of news releases daily. Their services are used by various organizations and individuals who rely on them for accurate and timely news.

Solution

Ansa implemented expert.ai technology to automate the categorization of text. This allowed them to deliver precise classification of content to more than 1,200 standard IPTC categories and improve access to information for users. As a result, all content is accurately and uniformly categorized, enabling users to retrieve archived news content and photos through an intuitive, natural language search approach. This has led to faster and more accurate retrieval of images on the ANSA Foto portal.

Impact #1	Faster and more accurate retrieval of images on the ANSA Foto portal.
Impact #2	Uniform and accurate categorization of all content.
Impact #3	Improved user access to information through an intuitive, natural language search approach.

Impact #1

Faster and more accurate retrieval of images on the ANSA Foto portal.

Impact #2

Uniform and accurate categorization of all content.

Impact #3

Improved user access to information through an intuitive, natural language search approach.

Benefit #1	Categorizes 4,000 news releases daily
Benefit #2	Automatically assigns content to 1,200 IPTC standard categories

Benefit #1

Categorizes 4,000 news releases daily

Benefit #2

Automatically assigns content to 1,200 IPTC standard categories

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Overview

Accelerating Media Categorization via IPTC Taxonomy at Ansa

Operational Impact

Quantitative Benefit