Name: Natural Language Analysis - How to understand tons of text in minutes
Start: 2023-09-20T18:30:00-07:00
End: 2023-09-20T20:30:00-07:00
Location: Knobbe Martens

Please join us for the fifth of the Orange County ACM Chapter's 2023 bi-monthly evening program series.

**Wood Harter speaking on "Natural Language Analysis - How to understand tons of text in minutes"**

**Agenda**
6:30 PM Doors Open & Networking
7:00 PM Announcements and Presentation
8:30 PM Meeting Adjourned

**Event Details**
The emergence of Large Language Models has led to many breakthroughs in processing text and producing new and innovative products. Generative text is one of many applications in the Natural Language Understanding space. Text analysis, vectorization, and word-embeddings provide another way to analyze text to help drive business decisions in scientifically repeatable ways.

The vectorization approach can be used to explore datasets like product reviews, open ended survey questions and trouble tickets to understand the context of a large set of text data in seconds. A language model is created for each dataset (a targeted language model) which can then be used to explore a specific set of text data. Datasets might include a hundred thousand or million product reviews or an open-ended survey question answered by fifty thousand employees to understand what is going on with customers or employees at a very deep level.

Large language models and vectorization use different approaches to understand and interpret text. While large language models like GPT-3 transform massive amounts of text into a single neural network for generating text, the vectorization or word embeddings approach can be used on small or large datasets in a repeatable and consistent manner, allowing for more reliable data analysis of a specific set of data.

Come and learn about natural language analysis and ways to process text in new and innovative ways.

**Speaker Bio**
William Wood Harter is a Chapman University Alumnus and Adjunct professor who has worked in Aerospace, Security, Gaming, and now Artificial Intelligence and Natural Language Analysis. He currently works as a Solutions Architect for Luminoso, an award-winning leader in tools for understanding language around product reviews, open-ended survey questions, trouble tickets, and help desk transcriptions.

**Co-sponsors**
This event is co-sponsored by the IEEE Orange County Computer Society, SIGAI OC and the Los Angeles Chapter of the ACM.

**Venue & Parking**
This meeting will be held at the Knobbe Martens' Irvine offices. Parking validation will be provided to attendees.

Daniel Whelan

Allen Takatsuka

Marc

Orange County ACM Chapter

ACM Local Network

Knobbe Martens

Technology

Software Development

Cybersecurity

Data Privacy

Software Engineering

Big Data

Cloud Computing

Web Technology

Mobile Technology

Data Analytics

Programming Languages

Computer Programming

Open Source

Internet of Things (IOT)

DevOps

Information Security

Natural Language Analysis - How to understand tons of text in minutes

Artificial Intelligence

Machine Learning

Natural Language Processing

Share

Orange County ACM Chapter

Natural Language Analysis - How to understand tons of text in minutes

Orange County ACM Chapter

Details

Sponsors

Members are also interested in