Matt Shearer

Data Language AI for News offers a new market-leading automated news classification SaaS. It beats other SaaS because it uses your own tags.

Data Language AI for News - Automated News Content Classification

Automatically Tag your text with News Tags
We’ve trained our Data Language Text AI Services
[https://datalanguage.com/products/datalanguageai/text-ai-services] using a News
training corpus, and are making it available for you to try out.

Simply add your text, and get News tags back. Get the latest News tags,
consistently, and improve your user journeys and SEO.

Industry-leading Auto-tagging AI
Our sophisticated Text AI automated classification service
[https://datalanguage.com/products/datalanguageai/text-ai-services] is designed
with years of experience in Data Science. It beats popular benchmarks, and
tackles all the normal data science issues faced with News auto-tagging.

Get access
Simply use the contact form to request access.

News, features and updates about our Data Language AI Products. Find out how our AI Products solve common specialist and scaling problems.

News, features and updates about our Data Language AI Products. Find out how our AI Products solve common digital transformation challenges.

Data Language AI - News and AI Product Updates

Data Language AI

Data Language AI for News - Automated News Classification

Paul Wilton

Our Text AI Services for Publishers provides auto classification, recommendations and entity extraction. The engineering and data science is taken care of.

Text AI Services for Publishers - highly optimized scalable AI

Our Text AI Services
[https://datalanguage.com/products/datalanguageai/text-ai-services] were
originally designed to meet the challenges of automated content workflows in the
publishing industry, and are ideally suited to classification and tagging of
news, sport and entertainment content.

Why do publishers tag their content?
Most large publishers need to tag or classify their content for a number of
reasons :

 * to assist internal processes and work-flows
 * to improve search and discovery
 * to provide richer content and user analytics
 * to drive advertising
 * to deliver richer user experiences

Typically tagging is a manual task, integrated into the editorial workflow and
the CMS. Increasingly, publishers are working to automate this process using NLP
and machine learning techniques.

Automated content tagging
Automating content tagging unlocks a lot more value, as the automated-tagging
system can be used to

 * improve tagging efficiency, consistency and quality on the news desks
 * fully-automate tagging of external news feeds
 * unlock value in long-tail content
 * automate tagging of other content around the organisation

For this reasons, publishers are investing large sums and time in building their
own automated tagging systems. However what may seem like a simple problem in
the R&D labs can turn into a much more complex and expensive problem, when put
into production.

How Data Language Text AI Services can help
O [https://datalanguage.com/tagmatic]ur Text AI Services
[https://datalanguage.com/products/datalanguageai/text-ai-services] are an AI
and Machine Learning fully managed SaaS product. We built them to make it as
simple as possible to integrate automated tagging and classification into your
publishing systems, addressing all the key challenges :

 1. It is incredibly easy to integrate. Send it content to learn. Send it
    content to tag.
 2. It uses your own dictionaries, taxonomies, and classification vocabularies
    out of the box.
 3. The engineering challenge of scaling, retraining, and efficiently
    redeploying the machine learning models is done for you.
 4. It learns on the fly. As new terms arise in news, our Text AI Services
    [https://datalanguage.com/products/datalanguageai/text-ai-services] learn
    them quickly.

Total cost of ownership
Building you own AI based tagging solution is no mean feat. It is not just a
data science problem, but involves software engineering, testers, DevOps,
infrastructure, scaling automation, model deployment automation, continuous
machine learning model training automation, as well as the project management
and business processes that accompany a project of this nature. Both the total
cost of ownership and time-to-deliver is substantial.

With our Text AI Services
[https://datalanguage.com/products/datalanguageai/text-ai-services] you can be
up and running in hours, not months, at a fraction of the total cost and you can
put your data scientists to work on your market differentiating data outcomes
instead.

Get in touch
Use the contact form to get in touch - we are here to help.

News and product updates about our Text AI Services. Read about how our Text AI products are being used in innovation projects, and by our clients.

Read the latest on our Text AI Services. Projects, Innovation initiatives, and new developments for AI features in specialized use cases.

News and Product Updates about our Text AI Services

Text AI Services

Text AI Services for Publishers

Alexi Buckingham

Our Text AI Services are easy-to-integrate SaaS tools that use AI and machine learning to make document classification as efficient as possible. 

Document Classification Text AI Service by Data Language

AI Document Classification
Data Language has been tackling the problem of document classification for many
years and has used their wealth of experience in NLP, data science, and text
analytics to create a product that is world leading. 

Our Text AI Services are easy-to-integrate SaaS tools that use AI and machine
learning to make content categorisation and tagging as easy and efficient as
possible. Our Text AI Services dramatically reduce the cost and effort
associated with tagging and organising written content, speeding up
behind-the-scenes processes and ensuring accuracy.

With our Document Classification Text AI Service, the difficult engineering and
scaling is done for you, dramatically reducing the total cost of ownership of
developing AI based classification in-house.

Document Classification Text AI Service main features
 * Fully managed Software as a Service, trivial to integrate into your systems
 * Language agnostic
 * Classifies content using your own vocabularies and dictionaries
 * Self optimizes and learns on-the-fly independently to your workflow
 * Dramatically reduces the time, cost and complexity of tagging content
 * Gives you more time to do what you do best

Benchmarking
We have benchmarked our Document Classification Text AI Service against Reuters 
RCV1 and Arvix Academic Paper Dataset AAPD and achieved impressive results.
 Read more about the benchmarks here
[https://datalanguage.com/blog/benchmarking-tagmatic].

Our Document Classification Text AI Service is perfect for almost any text
classification problem, and in any language, some of its primary use-cases are : 

Publishing
Our Document Classification Text AI Service was originally built to tackle the 
challenges that publishers [https://datalanguage.com/tagmatic-for-publishers] 
and media organisations have with automatic and human-assisted content tagging:
reacting to new terms (tags) fast as they break in news, automatic on-the-fly
training, consistency, disambiguation, editorial tagging style  - all this is
handled out of the box by our service. 

Law and Legal Tech
Our Document Classification Text AI Service is perfect for classifying legal
texts and documents, or part-of-documents such as contract clauses. Once
trained, it can be used to automate the tagging of incoming legal documents, as
well as archives of existing documents. We have demonstrated Document
Classification Text AI Service on Hansard of some 200,000 parliamentary
interventions for the 2005/6 period , classified with >7200 categories from the
parliamentary library classification vocabulary, and achieved extremely accurate
results.

Healthcare and Life Sciences
Through our work with Cochrane, we have extensive experience with bioinformatics
vocabularies such as SNOMED-CT, MESH, and MedDRA. Our Document Classification
Text AI Service is ideally suited for the automated classification and tagging
of content against these vocabularies, whether for classifying clinical trials,
 patient records, or general medical documents.

Free Trial
If you are a publisher or work with high volumes, or large content archives and
are working on or thinking of building your own automated tagging platform, then
our Document Classification Text AI Service is an ideal solution - you can be up
and running in hours, and reduce your total cost of ownership of building,
scaling, and hosting your own AI / NLP based classification solution
dramatically. 

Please get in touch for a free trial.

AI Document Classification with Data Language Text AI Services

Tolga Ergin

A great AI or ML model is worthless if it can't be delivered in a scalable, cost effective and technically sustainable way. Find out how.

Data Science at Scale - 10% AI, 90% Engineering

A great AI or ML model is worthless if it can't be delivered in a scalable, cost
effective and technically sustainable way. Our data science team excels in the
design and implementation of machine and deep learning models for the analysis
of data and media at scale.

Data Science seems to have something mystical about it, to the extent that
enterprises have almost come to consider it as a magical solution to impossible
problems. The reality is that behind DS there are tons of unfashionable data
engineering and analysis tasks, before statistical models can be applied to the
problem. 

Our team of talented experts here at Data Language can leverage years' worth of
technical excellence to ensure your AI solution can actually be scaled and
delivered at the highest standards of software engineering.

Understand your data 
Unlock the full potential of your data through early discovery, analysis, and
visualisation.

Learn fast
With so many variables to tweak, rapid feedback and short iteration cycles are
imperative to an effective delivery.

Models are software
As with any piece of code, statistical models also benefit from engineering best
practices for delivering at scale, with controlled total cost of ownership.

--

Read our white paper on rethinking how you do data science in your organisation:

 
[https://datalanguage.com/static/whitepapers/rethinking-data-science-in-the-enterprise.pdf]

Text AI Services

Our Text AI Services work