Get the most out of what is being said about your company in social and traditional media

When you need to analyze exhaustively and in real time information coming from diverse multilingual channels (social networks, mass media), human processing is not scalable enough.

Analyze mentions, themes, opinions and facts in all kinds of media

The vast majority of the contents that are published in social (e.g. networks, blogs, forums) and traditional (e.g. newspapers) media is not structured and difficult to exploit and analyze. Semantic technology enables to "understand" automatically the structure and meaning of news and social conversations, way beyond the simple aggregation of mentions, and extracts the most actionable information elements. All this returns more homogeneity than human analysis, but infinitely greater speed and volumes.

Among other applications, these tools enable the following:

Monitoring and engagement in social media

Discover and develop conversations with your clients in social media, directing them to the most appropriate department of your organization.

Early detection of threats and emergencies

Monitor in real time all sorts of media to detect in advance emergencies and threats to safety or reputation.

Press clipping

Don't miss any mention of your brand or company in the media, and automatically extract the context in which they are mentioned to perform analyses.

Focused marketing

Profile users and analyze conversations and content to locate your marketing information at the highest relevance level according to your audience's context, behavior, and attitude.

Analysis of the Voice of the Customer, Voter, Citizen, etc.

Discover what your clients think about your brands, the satisfaction of citizens with public services, or political concerns and voting trends.

Identification of trends

Identify emerging issues and who has the leading role in the conversation within your market.

Who can benefit

Media Analysis technologies help not only producers of monitoring tools, but also communication agencies and corporate users in numerous industries.

Media Analysis - developers

Developers of monitoring, media analysis and social CRM tools

Semantic analysis technologies enable them to extend their products' functionalities and differentiation possibilities.

Media Analysis - agencies

Communication agencies and press clipping services

The automatic analysis allows them to provide their customers more complete, adaptable and in real time services, at the same time improving their cost structure.

Media Analysis - clients

Corporate clients

All types of companies and organizations can integrate this functionality in their processes to develop specific solutions for analyzing the corporate reputation, detecting emergency alerts, etc.

Recommended products for Media Analysis

MeaningCloud provides a set of APIs and plug-ins specifically designed for Media Analysis scenarios:

Sentiment Analysis API

Realiza la minería de opiniones más avanzada, incluyendo polaridad por aspecto, discriminación de objetividad/subjetividad, indicación de desacuerdo, y detección de ironía.

Text Classification API

Categorize media contents using standard taxonomies (e.g. IPTC) or others tailored to your business.

Add-in for Excel

Classify, extract key elements and analyze opinions in articles, posts or tweets directly in your favorite spreadsheet.

Media Analysis API *

Obtain a complete semantic annotation of media content (topics, themes, sentiment...) with a single call to this powerful API.

These are just a few of the MeaningCloud products recommended for Media Analysis scenarios. But there are more: be sure to have a look at our catalog.

Advantages of MeaningCloud for Media Analysis

MeaningCloud's products aimed at Media Analysis gather our expertise in projects for this industry and provide services for topic extraction, classification and opinion analysis. These are some of their features:

Advanced sentiment analysis

Including polarity by appearance and detection of possible contradictory expressions.

Unambiguous name detection

Do not confuse again the city of Barcelona with the football team. Identifies names of companies, products, brands or people depending on the context.


Add dictionaries, classification models and sentiment vocabularies according to your needs.


Apply the same analysis criteria to all contents and avoid any divergence that may arise from a processing made by various human users.

Optimized for Twitter

Designed to understand both the formal language of the news and Twitter's informal and abbreviated one, in several languages.

Our clients