Using AI inside of 2d generations bots, OpinionMetrics collects groups of content and document it (measuring the word of mouth) giving to your web site new business value. Social-networking sites, wikis and folksonomies are content examples. OpinionMetrics give value to your web site content applying text-mining technologies.

Every marketing director wants to know everything about their market and about their customers to design better products that fit their user needs. Internet allows those users to write their opinions about products, brands, people, quality of services, etc.. and other users are using that opinions to make buying decisions. BuzzMarketing helps those companies to know about the street sense of their customers and potential buyers. We've learned that improve your business is

• Not a completely new development
• Not only a technology issue
• Not revolution. It's evolution

Semantic intelligence allows differentiation:

1. Makes fine page scoring (is the page relevant?)
2. Makes consistent scoring of the searched item (is the object/item relevant?)
3. Makes data qualification (is the object/item relevant in that page?)
4. Makes data contextualization (is the object/item relevant in the cluster content?)

Resulting in:

• Being sure of object/item searched
• Differ from spam pages and ad pages
• Categorize most relevant sites
• Geolocalization, object correlation, different languages, etc

Those are some examples of what kind of services you can offer to your customers, as a service group or single service.

These twelve semantic families are fully supported by BuzzMarketing:

• Electronics: Mobile Phones, Video Cameras & Photo, Audio & Tv
• Videogames: Games, Consoles
• PC Hardware: Computers, Laptops, Printers
• PC Software: OS, Desktop productivity, Antivirus
• Cinema: Movies
• Literature: Books
• Music: DVD, CD
• Tourism: Hotels, Restaurants, Interest places
• Auto motion: Cars, Motorbikes
• Telecom: Telephone operators, Adsl
• Television: Series
• Banking: Online banking, Mortgages

If your business is not included in those semantic families it takes only three weeks to customize a new semantic family. That is possible because the whole system was developed using significant object technology that divided the code logic in rules, dictionaries, and presentation layer.
How we do it

- Concept consultancy

* One week working with your marketing team for getting knowledge about your business

- Document

* The second week developing functional document that contains grammars and semantics to be analyzed

- Technical adaptations

* Adapt second generation bots for harvesting and perform the semantic data mining

- Training

* Technical Course – Shows your IT staff how to adapt our content in your web platform

* User Course – Shows your users to surf the content

- PreProduction

* During two weeks bots harvest the web and shows results. Those should be monitored for fine adjusting

- Production

* Syndicate content to your customer web platform

Here you can see an example about people. Bots were measuring Paris since 2006 and when she went behind bars hers internet presence rise up. This could be applied to measure an advertising campaign searching opinions and measuring the brand or product internet presence before and after the ad campaign.