Human emotion algorithm for social media

A couple of post ago I toughed the subject of big data sentiment analysis and how the field of sentiment analysis will be the next frontier in data analysis. Sentiment analysis will help developers build applications and analysis tools to improve the machine to human interaction and make technology play a more integrated and more natural way of helping humanity.

Feelings and computer algorithms are a field in which we do not have that much experience at this moment and a lot of people do feel that we will not be able to concur all the fields of emotions. Some people feel that we should not try to concur all the fields of computerized emotions and digitized emotions. In the below video Intel futurist Brian David Johnson talks with Dr. Hava Tirosh-Samuelson, Director of Jewish Studies at ASU. Dr. Hava talks about transhumanism, our future and the fact that to her opinion not all emotions can be captured or should be captured.


According to some it will be possible to capture the human emotion and extract the human emotion from a sentence or a work of art however it will be impossible to give a machine emotions. Giving a machine emotion will most likely be one of the most hardest parts of computer science in the upcoming time however first we will have to be able to capture and extract human emotions. This will provide us a much better way to interact with humans from a machine point of view. Some projects are working on this, some are working on collecting emotions and some try to make meaning out of the harvested emotions. One of the graphically most appealing emotion harvesting projects is done by Jonathan Harris an Sep Kamvar at wefeelfine.org.The wefeelfine.org project scans the internet continualsiy to find feelings based upon blogposts containing a sentence "I feel". On the project page you can see how the world is feeling at this moment.

 Below you can see a talk done by Jonathan Harris at TED.com.



As already stated capturing human emotions from social media en machine interaction and giving meaning to it will be one of the next big things a lot of companies will try to resolve. Having a algorithm to understand human emotions can be implemented in a lot of applications and will provide a whole new era of how we work with and interact with technology. The challenge in this is that this cannot be done by computer researchers alone, a lot of people and a lot of fields of science will have to interact to only begin to imagine the complexity of crafting such a algorithm.