Defining text & data analytics
Brian Howard, Sales & Marketing Manager, talks about the differences between text and data analytics and how we use these insights for better business decisions.
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Creating a domain-specific dictionary using extraction nodes in PolyAnalyst
PolyAnalyst comes with several different default dictionaries such as a morphology dictionary, a synonym dictionary, and a dictionary of human names. Those generic dictionaries cover general terms that are useful for a variety of fields. However, when you work with a domain-specific dataset, such as a medical dataset or a car repair dataset, it is crucial to have domain-specific dictionaries that include related terms. Why do you need domain-specific dictionaries?…
Challenges in Analyzing Online Communication
Online communication, also known as Computer-mediated Communication (CMC), is any communication among individuals via networked devices, such as computers and mobile phones1. Online communication is not only textual, but may include other modes of communication: images, audio, video, or a combination of those. For example, we may participate in a Facebook conversation using a GIF animation along with text or we may use video, audio, and text at the same…
Entity resolution in text analysis
In our analysis of textual data there are many different types of entities we need to identify and capture such as companies, organizations, places, currencies, stocks, and people. The difficulties in accurately capturing entities in text This task alone can be challenging, but in many scenarios it is further complicated by the fact that entities can be highly contextual and can be referenced in a myriad of forms. Referencing people…