Few would argue about the growing volumes of data our digital lives have created. Many look to semantic technologies as a solution, or at least enhance processing and analyzing data. The constant challenge is the data was mostly published for human consumption and software finds it a challenge to format that which it doesn’t understand.
We found this interesting topic on Smart Data Collective in their article, “Tackling Human Intelligence.” How do we deal with the ambiguity in the data or provide clarity? Sentiment analysis is an integration of classic text analytics and new techniques that
attempt to track feelings and emotions. Maybe this new technology is the answer?
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
