ARTIFICIAL INTELLIGENCE, AT THE SERVICE OF
NATURAL LANGUAGE PROCESSING
It may be used for simple tasks (such as identifying the same names in various formats, differentiating spam from non-spam), to very complicated issues (such as detecting emotions and human intention). Natural Language Processing is anything but simple keyword counting.
Our patent-pending Natural Language Processing methodology facilitates the extraction of topics, concepts, entities, key ideas from any human generated speech, post, call, or other digital data.
MACHINE LEARNING DEEP LEARNING
Deep Learning is a recently emerged subfield of Machine Learning, inspired by the structure and function of the human brain’s neural network. Deep Learning aims at unifying Machine Learning with Artificial Intelligence by building more complex neural networks artificially. The several processing layers enables the machine to analyze complex structures.
SOCIAL NETWORK ANALYSIS
Social networks visualized dispose unnoticed ties, reveal patterns in the data unseen with other methods. Amongst others, the source of the networks can be surveys, observations, or social media data. Social Network Analysis depicts the relationship between users of a given platform, let it be Twitter, Facebook, Instagram etc.: who talks to whom, who is marginalized in a conversation, who are the “bridges” connecting sparse communities, and what is the flow of information.
ADVANCED DATA VISUALIZATION
A good Data Visualization is as telling as an essay on the very same topic. Also, how to interpret them must be clear for non-technical persons. Graphics enable humans to explore data easier than browsing a spreadsheet of thousands and thousands of rows. Nevertheless, the clarification of data using visualizations does not necessarily mean the simplification of visuals. As Edward R. Tufte, the celebrated authority in information design put it, “…the task of the designer is to give visual access to the subtle and the difficult – that is, the revelation of the complex.”
Being aware of the principles in human visual perception, we use intuitive data visualizations that enable the smooth interpretation of the most important aspects of the dataset analyzed.