Web monitoring

	Web Radar This service seeks out and detects concepts and themes of interest in over 15 million web sources. It then calculates the buzz around each one, links it to a sentiment and identifies its mood.
	Social Listening Seeks out and detects concepts and themes of interest across 26 social networks. It then calculates the buzz around each one, links it to a sentiment and identifies its mood.
	WOSM - World Open Source Monitoring Media intelligence service. Identifies the general emotional climate and public perception surrounding a specific issue or event, on both a national and international scale. These results are integrated with those of the semantic monitoring of all other open sources (external and internal to the organisation).
	Logo/claim detection Detects and quantifies the media appearances of monitored subjects. It is principally used to assess the outcome of a piece of sponsorship.
	People Examines the media visibility and reputation of personalities and brand ambassadors, registering direct appearances and indirect references. It outlines the emotional character of the conversations identified, analysing the mood and the sentiment that are generated in respect to particular personalities and the issues with which they are associated.
	Competitor Monitoring Identifies and objectively quantifies the marketing outcomes of one or more competitor subjects, to provide a comparison with their media visibility and reputation.
	Sponsorship Certification Provides certification for sponsorship investments through reports on visibility, which record all media references to the sponsorship itself. It constitutes evidence of the investment’s validity as an expense, which can be included in a company’s accounts.
	Digital Broadcast Recording Provides technical, strategic and management support to entities involved in the recording, cataloguing and analysis of the content of a particular country’s media flows (web, TV, press, radio).
	Eye-tracking Analyses the visual behaviour of users confronted with a website, to learn what they actually look at and identify how many, and which parts/characteristics of the screen attract their attention the most. This assists in optimising front-end web interfaces.
	Neuromarketing Applies the techniques of neuroscience to assess and improve the effectiveness of visual communication by analysing its capacity to provoke an emotional response in the viewer, and the likelihood of it being remembered.
	Topic Uses an advanced intelligence system to detect and quantify, by country, the media appearances of set analysis subjects, which are expressed in terms of concepts, subjects or events. It outlines the emotional character of the conversations identified, analysing the mood and the sentiment that are generated by the sources analysed.
	Mobile Monitoring Monitors the mobile world with a daily scan of a carefully chosen selection of mobile apps. This service allows you to ensure that apps offering video simulcasts are complying with video distribution rights.
	Specialised Analysis and Consultancy Services Provides value-added analysis and specialised consultancy in regard to the efficacy of marketing strategies, the market and competitors, sport and sponsorships, and media and the audio-visual market. It offers direction in strategic choices and business and communication decisions.

 

​Methodology

The system automatically monitors over 15 million web sources and 26 social networks using a process of downloading, archiving and organisation of information in a proprietary database.
The semantic engine extracts information, not on the basis of key words and sequences of characters, but by focusing on the contents (subjects, concepts, prominent themes and so on) and their relationships, independently of the language used to express them online. This mode of operation concentrates on meaning and interpretation as present within the textual source, effectively simulating the mechanisms of human understanding.
In addition, the Automatic Semantic Reader identifies:

• Mood: expressed as a percentage, it highlights the overall emotional tone of an article, without distinguishing the emotional content related to each individual topic (or issue that is relevant to the search).
• Sentiment: expressed on a scale from 1 to 3, it highlights the emotional tone with which each topic is discussed, to give a more calibrated measurement for the case in question.

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Results

For a given subject to be monitored, and a specific time frame, the system provides, at agreed intervals:

• analysis reports;
• if requested, the digital archive of the original sources.