Work with thought leaders and academic experts in natural language processing

Companies can greatly benefit from working with natural language processing experts. These researchers can help improve customer experience by developing chatbots and virtual assistants that can understand and respond to customer queries in real-time. They can also automate processes by developing algorithms that can analyze and extract information from large volumes of text data. Additionally, companies can leverage their expertise in sentiment analysis to gain insights from customer feedback and social media data. Natural language processing experts can also assist in developing machine translation systems, voice recognition technologies, and text summarization algorithms. Overall, collaborating with these experts can enhance data analysis, improve decision-making, and drive innovation in various industries.

Researchers on NotedSource with backgrounds in natural language processing include Christos Makridis, Brian Flaxman, Ph.D, Joshua Cohen, Jim Samuel, Edoardo Airoldi, Leilani Gilpin, Suhang Wang, Osaye Fadekemi, PhD, Dr. Justin W. Hart, Ph.D., Haining Wang, Nima Ziraknejad, and Dr. Jekaterina Novikova, Ph.D..

Christos Makridis

Nashville, TN
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
Research Expertise (16)
Finance
Economics and Econometrics
Accounting
Pharmacology (medical)
Law
And 11 more
About
Christos A. Makridis holds academic appointments at Columbia Business School, Stanford University, Baylor University, University of Nicosia, and Arizona State University. He is also an adjunct scholar at the Manhattan Institute, senior adviser at Gallup, and senior adviser at the National AI Institute in the Department of Veterans Affairs. Christos is the CEO/co-founder of [Dainamic](https://www.dainamic.ai/), a technology startup working to democratize the use and application of data science and AI techniques for small and mid sized organizations, and CTO/co-founder of [Living Opera](https://www.livingopera.org/), a web3 startup working to bridge classical music and blockchain technologies. Christos previously served on the White House Council of Economic Advisers managing the cybersecurity, technology, and space activities, as a Non-resident Fellow at the Cyber Security Project in the Harvard Kennedy School of Government, as a Digital Fellow at the Initiative at the Digital Economy in the MIT Sloan School of Management, a a Non-resident Research Scientist at Datacamp, and as a Visiting Fellow at the Foundation for Defense of Democracies. Christos’ primary academic research focuses on labor economics, the digital economy, and personal finance and well-being. He has published over 70 peer-reviewed research papers in academic journals and over 170 news articles in the press. Christos earned a Bachelor’s in Economics and Minor in Mathematics at Arizona State University, as well a dual Masters and PhDs in Economics and Management Science & Engineering at Stanford University.

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Example natural language processing projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on natural language processing?

Customer Service Chatbot

A natural language processing expert can develop a customer service chatbot that can understand and respond to customer queries in real-time. This can greatly improve customer experience by providing instant support and reducing response time.

Text Data Analysis

Companies dealing with large volumes of text data can benefit from collaborating with a natural language processing expert. They can develop algorithms that can analyze and extract valuable information from unstructured text data, enabling companies to gain insights and make data-driven decisions.

Sentiment Analysis

Natural language processing experts can help companies analyze customer feedback and social media data to understand customer sentiment. This can provide valuable insights for improving products, services, and marketing strategies.

Machine Translation

Collaborating with a natural language processing expert can help companies develop machine translation systems that can automatically translate text from one language to another. This can be beneficial for companies operating in global markets.

Voice Recognition

Natural language processing experts can assist in developing voice recognition technologies that can accurately transcribe and understand spoken language. This can be useful in applications such as voice assistants, voice-controlled devices, and speech-to-text systems.