We leave our footprints on various social networking, crowd sourcing online services. These services serve a nice purpose on connecting or creating your noise but there much more which can be extracted by stitching them together.  An aggregation which is not just about a common accessibility of your data but an intelligent delivery which is able to highlight your interest topics, trends, way you use the services.

The value of such an integration is humongous.

• Your personal branding.
• An easy way to mine your public data by others. For instance, choosing the topics to look at.
• A better understanding of you for others. For instance, looking at your Facebook as a source of your political opinion, food habits but your twitter as your business and technology buzz.
• Increasing reach and influence of your data.
• Filling the gap which your resume is leaving.
• Backing your social identity.
• Gaining much more from the footprint you leave all around the web.

We mention lots of important stuff whenever we share a link, video, image or just a simple text. Lets consider following examples:

• Christmas celebrations were great at University
• I think Messi is best footballer of all times.
• We must really put serious thought to move to green energy
• I have been to travel to India, Malaysia, Hongkong and Macau

This pretty much tells a lot about ones life, interests and behaviour.

Such data must just not be kept as a part of timeline, it must be highlighted for enriching the dynamic profile of a user.

A profile which can highlight these mentions and organise them under topics.

Actwitty pulls the data from social networking services, semantic engine of Actwitty categorises the data into topics. Actwitty steps ahead and finds key terms or mentions in every data element and associate them with mentions.

Above sample profile hase some mentions like McDonalds, Angry Birds, Steve Balmer, Facebook and Twitter.

“What we see is what we believe” - Actwitty offers mining of data under each mention. Clicking any mention opens the data under that mention on the Feeds section.

Topics + Mentions gives a consolidated view of an individual by giving a flexible dimension to topics.