Big data requirements for artificial intelligence

Classification of Big Data Through Artificial Intelligence

By technology innovations, there has been a large increase within the utilization of Bigdata knowledge, joined of the foremost most well-liked styles of media thanks to its content richness, for several vital applications. To sustain Associate in Nursing current ascension of knowledge Bigdata, there's Associate in Nursing rising demand for a complicated content-based knowledge classification sy...

Big Problems for Artificial Intelligence

We compare the big problems studied in artificial intelligence and related fields in order to understand some major changes—both internal and external—recently suffered by AI. The comparison finds AI with few problems to call its own, and we identify some further major changes that may occur soon. This research was supported by the Defense Advanced Research Projects Agency (DOD), ARPA Order No....

Text Analytics: the convergence of Big Data and Artificial Intelligence

The analysis of the text content in emails, blogs, tweets, forums and other forms of textual communication constitutes what we call text analytics. Text analytics is applicable to most industries: it can help analyze millions of emails; you can analyze customers’ comments and questions in forums; you can perform sentiment analysis using text analytics by measuring positive or negative perceptio...

Managing Semantic Big Data for Intelligence

All-source intelligence production involves the collection and analysis of intelligence data provided in various formats (raw data from sensors, imagery, text-based from human reports, etc.) and distributed across heterogeneous data stores. The advance in sensing technologies, the acquisition of new sensors, and use of mobile devices result in the production of an overwhelming amount of sensed ...

Computational Intelligence for Big Social Data Analysis