Expert.ai Wrapped: The Rise of the Community

The past year at expert.ai has been marked by many milestones. We have closed several new deals, won numerous awards and, of course, launched the expert.ai platform. The icing on the cake of all of these milestones is the launch of our natural language user community.

The Community is our own space for artificial intelligence and natural language enthusiasts to collaborate and learn from like-minded individuals. Content is one of the best ways to foster conversation in the community.

We have covered a wide range of topics this year in the Community. What resonated best with the members? Let’s take a look at the top posts of 2021.

A semantic approach for efficient email management

Is there anything more relevant than dealing with a cluttered inbox? Whether at home or at work, no one wants to spend time sorting through dozens or even hundreds of emails and prioritizing them accordingly. We’ve provided a tutorial on how to build your own email management system, with some code to get started.

Visualize what documents really are with expert.ai

Anyone who has worked with text-based datasets understands how difficult it is to retrieve the most important information from them while avoiding noise or redundancy. Here we provide a tutorial on how to extract key information from text using Python API NL SDK.

A simple NLP application for resolving ambiguities

Ambiguity is one of the greatest challenges in NLP. Words change meanings over time and can and often mean different things in different situations or areas. In this tutorial, we provide guidelines for resolving ambiguities in PoS markup and semantic markup, using expert.ai technology.

A Quick Word on Hybrid AI in Natural Language Processing: The New Approach to Machine Learning Applied to Text Analysis

Hybrid AI and NL are completely revolutionizing the way we solve language challenges by leveraging the best of machine learning and symbolic AI. We took the opportunity to explain our approach to the hybrid from both a development and workflow perspective.

Criminally Ignored NLP Features: The Case for SAO

Categorization and extraction are the two most used features of natural language processing solutions. While the conversation often starts and ends with them, we wanted to break down an often overlooked feature in SAO (Subject-Action-Object).

These pieces of content are just a sampling of the many topics being discussed in the community over the course of 2021. Join the conversation and start expanding your knowledge and expertise in natural language. With the help of the Community, anyone can become an NL expert.

Warning

Expert System SpA published this content on 23 December 2021 and is solely responsible for the information it contains. Distributed by Public, unedited and unmodified, on 23 December 2021 12:46:06 PM UTC.


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Sam D. Gomez