Natural Language Processing

Alexandra Morrison2022-10-19T19:02:52+00:00October 19th, 2022|Categories: Artificial Intelligence, Business Process Management, Business Process Optimization, Natural Language Processing|

Theme and Sentiment Analysis Many organizations are focused more and more on the experience of customers, employees, and partners recognizing that behind every person is a story. These stories can help organizations illuminate and improve moments that matter most to individuals. Often these stories are gathered through open-ended questions in surveys and questionnaires. As more and more qualitative feedback/stories are collected, the problem lies within how to leverage the insights, positive or negative, for continuous improvement in organizations. These stories can serve to assist organizations in recognizing the behavior, preferences, wants, and needs of those they serve—not as point-in-time insights, but as an ongoing relationship. “Businesses know there is a richness in [...]

Our Approach to Automation – Start Small

Analytics, Artificial Intelligence, Automation, Machine Learning, Natural Language Processing, Predictive Modeling

Our Approach to Automation – Start Small

Sarah Wong2022-07-20T19:55:37+00:00March 20th, 2021|Categories: Analytics, Artificial Intelligence, Automation, Machine Learning, Natural Language Processing, Predictive Modeling|Tags: Analytics, Artificial Intelligence, automation, Machine Learning, Natural Language Processing, Predictive Modeling|

Our Approach to Automation - Start Small Automation to compensate for an employee shortage Help Wanted! Signs are up everywhere, as employers are building their production back up. But finding qualified employees is difficult right now. Are you spending time trying to figure out how to accomplish more, with less staff? Regardless of the industry you are in, this is a great time to look into automation through AI/ML. Where do I start with the Automation process? One of the most common questions we get from clients is where to even get started as that task can often seem daunting. [...]

Document Processing – Case Study Series

Automation, Case Studies, Data Capture, Natural Language Processing

Document Processing – Case Study Series

Sarah Wong2022-08-17T17:06:57+00:00April 28th, 2020|Categories: Automation, Case Studies, Data Capture, Natural Language Processing|Tags: Artificial Intelligence, automation, Data Capture, Natural Language Processing, OCR|

Automated Document Processing Pipeline Focus on Scribe Fusion Performance Matters. The Scribe Fusion technology allows for the processing of large volumes of paper documents with a mixture of OCR/ICR and artificial intelligence to interpret documents in much the same way humans do. This novel approach has led to drastic improvements in the data capture accuracy rates and scalability. With NLP Logix's Scribe Fusion™, our technologies were developed by an award-winning team of deep learning experts. We move beyond deploying out-of-the-box OCR/ICR software using artificial intelligence to interpret documents in much the same way humans do. We help our clients achieve levels of accuracy that are not possible with existing data [...]

How A.I. Can Improve a Recruiter’s Productivity

Artificial Intelligence, Automation, Case Studies, Matchpoint, Natural Language Processing

How A.I. Can Improve a Recruiter’s Productivity

Sarah Wong2021-01-24T14:26:50+00:00April 10th, 2020|Categories: Artificial Intelligence, Automation, Case Studies, Matchpoint, Natural Language Processing|Tags: AI, Artificial Intelligence, automation, Matchpoint, Natural Language Processing, Recruiting|

How A.I. Can Improve a Recruiter's Productivity Although the technology behind A.I. continues to make advancements, the main purpose behind these solutions is still the same. Automation is the key driver behind most AI/ML projects. The ability to teach a computer how to perform time-consuming, tedious and repetitive tasks not only increases efficiencies, but decreases labor costs. The staffing and recruiting industry has begun to embrace AI as a way to improve operations and drive more placements. Major advancements in Natural Language Processing (NLP) have allowed firms to automate a majority of the time spent in screening, matching and engaging candidates, which frees up more of a recruiter’s time. This allows recruiters [...]