Ida schulin-zeuthen (Infomedia) presentation

Infomedia A/S How can a Media Intelligence Company gain from Language Technology? A presentation by Ida Schulin‐Zeuthen, Product Manager

Facts about Infomedia 1. Established in November

4. We are 180 employees in

2002 as a result of a merger of Politiken’s Polinfo and Berlingske Media’s Avisdata. Still owned by publicists – 50/50 JP/Politikens Hus and Berlingske

Denmark and have been through three acquisitions: A’jour Presseklip (2006), Cision Danmark (2009) and Infopaq (2012)

2. Market leader within media

5. Infomedia monitors printed

analyses, communications management and media monitoring with the broadest coverage and the most specialized solutions

as well as the digital press, radio, TV and the Internet, including social media – nationally and internationally

3. We have a strong position in

6. More than 2,500 public and

the Danish market and excellent insight in our clients’ processes and business areas

private corporate clients in Denmark with 80% of the market share

Market share

Infomedia

Member of:

We aggregate news content world wide

Retriever

Credit Info

Weekly Press Survey

Cis ion Finland

J&A Media

Opoint (web) Medias kopas N LI Media Market

Durrants PMG N LA Lexis Aus s chnitt Mediargus EEC Kantar Media Eco de la Stampa

BurellesLuce

In N ews

Interpres s

Media Watch Middle East

China Clipping Kantar Media Indian Press Clearing

Mediabanc

Global News Group Media Monitors Australia

We aggregate (news) content from all media sources

The building blocks…

Products across Analysis

Monitoring

Creates understanding

Search Ongoing overview

Self‐service

Infomedia Media Search With Media Search you get: › Denmark’s largest online article database › The option of searching in millions of complete articles from the country’s most important media › The broadest source coverage in the market › Overview of a certain topic or area

50 million articles growing + 6 million articles a year

Contains articles from: › National newspapers › Regional and local daily newspapers › Local weekly newspapers › Magazines, journals and trade journals › Online media › Summaries of radio and TV features

Different search options for different needs: › Simple search › Advanced search › Expert search

Infomedia Media Monitoring

Media

Digital articles Analogue articles Radio and TV programs Social media, blogs and forums

Selection Sorting Structuring Categorizing

Online sources

Delivery: Daily news e‐mail Portal Feed Intranet Internet

Infomedia Analysis 15‐25 experts are interviewed about clients communication

Stakeholder Analysis About 10 journalists are interviewed about clients communication

30‐40 pages written rapport

EXPERTS

Journalist Audit 20 pages written rapport

JOURNALISTS

Reputation Analysis YouGovs BrandIndex – 250 brands – daily measurements

PEOPLE EXPLORED

THE PUBLIC

Combined with a qualitative media analysis

Focus Groups RELEVANT TARGET GROUPS

Agenda Analysis CASE – DEBATE ‐ AGENDA

About 20 respondents are interviewed about clients communication

Target Group Analysis NEWS READERS

Qualitative Media Analysis CLIENT– COMPETITORS ‐ PRODUCTS

Quantitative Media Analysis CLIENT – COMPETITORS ‐ PRODUCTS

Analysis Light CLIENT – COMPETITORS ‐ PRODUCTS

MEDIA EXPLORED

Processing & production Media content

Processing

24/7 monitoring of media inflow

Delivery

Sorting and selection

Summaries

Sentiment Summarizing radio/tv content

Ontological Representation ‐ Categorisation in Infomedia’s internal systems and products ›

We established an ontology team September 2012

›

Rule based automatic categorisation • Technology • Verity 2003‐2007 • Smartlogic 2012‐

• Tags • Organisations • People names • Locations • Topics – exceptionally wide domain

Content ›

Infomedia handles more than 30.000 incoming articles every day about whatever possible

›

The articles are varied and messy

›

The articles are short: 15‐10.000 words – but an average under 200 words

›

From these articles we want to retrieve and extract information 

Search Engines ›

Articles are stored as XML‐files

›

At present we are running three search engines

• Verity K2 (in production since 2003) • IDOL 7 (in production since 2011) • Solr (in production since 2012 – to supersede Verity and IDOL)

Search ›

We have no: • lemmatisation • part of speech‐tagging • sentence boundary detection • language detection

›

We do have: • stemming – customised, word list‐based for a more “lemma‐like” performance

›

Search logs • User queries are stored (for documentation and billing), but not being analysed in any way

Entity Official Company Name

Alternative Name 1

50 % owned Subsidiary

Alternative Name 2

100 % owned Subsidiary

Brand 1

Brand 3

Brand 2

Entities and topics related People

Topics

Organisations

› › › › › › › › › ›

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› › › › › › › › › ›

Barack Obama David Bowie Helle Thorning‐Schmidt Herman Van Rompuy Lance Armstrong Octavio Paz Pat McQuaid Sergei Eisenstein Steffi Graf Walter Cronkite

Business Environment

›

› ›

Pollution

Politics › Elections Sports

› › › ›

Cycling Golf Doping Tennis

Carlsberg CERN European Commission Folketinget Greenpeace Labour Party (UK) Republican Party (US) Systembolaget WADA WTA

Benefits from ontological representation ›

An entity includes all aspects

›

Explorative search

›