Since our announcement, a couple of weeks ago, we have received a lot of interest and numerous questions on how it works on a real case.
So, let’s take an example:
The BPI (Banque Publique d’Investissement) who, through our QIO (Questions>Insights>Outcomes) is asking us:
“What are the trends and how do compare those trends between Silicon Valley and the French Ecosystem for 6 topics: Artificial Intelligence, IoT, Transportation, Drones, Smartcity and Security.”
1/ The Encyclopedic recognition of Themes
Netvibes is using a personalized version of both DBPedia and DBPedia Spotlight, both open-sourced.
In order to provide you with a streamlined way to compare and analyze both your own data and the data aggregated by your Dashboard, we are about to launch a completely revamped version of MisoData, Netvibes’ powerful data analytics app. Here is a sneak peek of the upcoming changes:
The new MisoData enables you to connect your own data to your Premium dashboard in order to compare and analyze all the metrics that matter to your business in one app. Explore how social trends impact your internal company goals. Drag-and-drop charts together to instantly compare and identify correlations.
Harmonized user experience
A new wizard that delivers a unified experience to make it easier to add all types of content, analytics and automation to your dashboard. Whatever the data source, the wizard will provide same experience for creation and configuration
Construct a complete story around your data to better understand the underlying trends. With the new MisoData, you can now create complex graphs displaying all the analytics around a particular query–in one chart. We call it “Data Staging.” For example, rather than having one chart analyzing “What is being said about Wearables?”, a separate chart showing “Who is talking about Wearables?”, and a third chart for “My Company’s revenues from Wearables”, you can now combine those analytics into one complete chart about Wearables, delivering an all-in-one view into everything that’s happening—in this case, how social influencers online are impacting company revenues.
Let’s explore how it works.
Netvibes dashboards automatically categorize your data so that you can drill down using a variety of facets, including: names, events, sentiment, geolocation and more. Today we are taking automatic categorization even further with the launch of our new Theme Recognition for Premium dashboards. With Theme Recognition, your dashboard can now identify a wide variety of topics and themes to help you better pinpoint data trends and understand what’s happening in your industry or business.
Netvibes Theme Recognition is powered by DBpedia and DBpedia Spotlight, a crowdsourced community effort to extract structured information from Wikipedia. This means that anything that has a Wikipedia entry–topics, brands, product names, theories, concepts, etc.–are now automatically recognized as a “Theme” and can be analyzed on the Netvibes dashboard.
Benefits of Netvibes Theme Recognition:
- Smarter insights help you get more actionable intelligence out of your data.
- Always up to date and encyclopedic: Theme Recognition is powered by Wikipedia, the world’s largest and continually updated encyclopedia.
- More accurate with disambiguation: Using rich profiling from Wikipedia means a higher degree of accuracy for identifying themes–for example, detecting the difference between Apple (the brand) and apple (the fruit).
- Crowdsourced ontology: Benefit from the continued efforts of the open-source community to better categorize themes and concepts online through DBpedia. Using this crowdsourced ontology will open doors to even more filtering and improved Theme Recognition as the technology evolves.
- International-ready: All languages supported by Wikipedia are also supported by Netvibes Theme Recognition.
- Independence: Wikipedia, DBpedia and DBpedia Spotlight are all open source.
Here’s how Theme Recognition works.