Natural Language Processing & Advanced Language Modeling is closer than you think

Mosaic helps organizations extract hidden insights and automate language tasks using AI.

Mosaic helps our customers find the needle in the unstructured haystack, pulling insights from text, voice, audio, image, and speech to inform operational & strategic decision making across any business unit.

Our unique blend of data engineering, machine/deep learning, business acumen, and custom deployment experience lends itself towards a powerful consultative approach to building solutions that drive powerful results for our clients.

More Than Just Chatbots

If you were to ask five different people what Natural Language Processing (NLP) is, you would likely get five very different answers. The rise of personal assistants and chatbots have helped spread this technology into our everyday lives, but most businesses are barely scratching the surface of what is possible with these algorithms.

Mosaic prefers to categorize NLP into three high-level categories that are relevant to machine learning & text analytics applications:

natural language processing speech processing phone image

Language Processing & OCR

Think of this as any text data a business is collecting, invoices, purchase orders, service agreements, social media posts, research documents, etc. NLP algorithms and Optical Character Recognition (OCR) technology allows a person to convert scanned documents into text searchable files, increasing the efficiency and effectiveness of combing through text data.

natural language processing person at a computer speech recognition

Natural Language Understanding

Using NLP techniques, it is easy to extract metadata from text such as entities, keywords, categories, emotion, relations, and syntax. Deep learning can encode the meanings of individual words and sentences in context or even of entire documents and use this information to categorize documents, extract relevant facts, or infer characteristics of the authors. Structured outputs of NLP models can even be used as inputs to downstream predictive machine learning models.

natural language processing women looking at text generation

Natural Language Generation

Speech and text processing both analyze the structure of the data, but we humans do not produce language for the sake of analysis. We produce language as a communication tool and deep learning models need to reproduce this information as such. NLG automatically generates narratives that describe, summarize or explain input data in a human-like manner at the seed of thousands of pages per second.

Sample Set of Mosaic’s NLP Use Cases

natural language processing printing invoices iamge
Purchase Order Anomaly Detection

Document Classification

Mosaic designed & deployed a custom ML application powered by NLP to identify anomalous purchase orders, cutting down on human review & increasing accuracy of POs needing attention, for one of the country’s largest hospital systems.

natural language processing health researchers talking
Social Media Processing for Public Health

Information Extraction & Sentiment Analysis

Mosaic built a web-based tool for the CDC to understand how people manage long-term health conditions. People frequently turn to their social media platforms to discuss symptoms from various ailments.

natural language processing eyeglass examining document
Contextual Search for Research & Geological Info

Text Processing

Mosaic built text processing capabilities into a reverse image search application for a large multinational industrial firm to pull all relevant information to geographical locations around the globe, allowing business users to access this information in seconds rather than weeks.

natural language processing drone control system
Drone Aircraft Control System

Speech Recognition

Mosaic developed an autonomous planning system using speech recognition and Air Traffic Controller domain supervisory control of an unmanned aircraft in a high-fidelity simulation.

natural language processing text generation on envelope
Packaging Information Scan

Information Extraction

Mosaic is working on a capability to automate the product packaging review, significantly reducing human review and improving accuracy of mislabeled packages.

natural language processing customers talking to each other with computers
Quantifying Customer Interactions

Sentiment Analysis

Mosaic helped a leading retailer to understand the sentiment of customer service interactions through their call center, social media properties, surveys, and other unstructured text sources. Once sentiment was identified, they needed to be able to quantify how much the negative interaction had on their customer, Mosaic tied in Lifetime Value metrics to understand just how much a negative experience cost.

New to NLP & Text Sensing?

It is widely accepted that almost 80% of data a company collects is unstructured, just think about the sheer amount of emails, resumes, text documents, research findings, legal contracts, invoices, call recordings, and social media posts your firm possess.

If business could take full advantage of the value this information holds when they need it, they would be able to solve all sorts of challenges across the business.

Mosaic can help you implement your first Natural Language Processing application or improve an existing one, our NLP consulting and deployment services are tailored to you & your business processes, not the other way around. We bring the deep machine learning expertise necessary to quickly take advantage of these powerful algorithms.

NLP & Language Based Models have advanced significantly over the past two years, read our latest musings on Transformer Models.

Skynet is close….GPT-3 is certainly pushing the limits on what is possible with text processing, read our review on GPT-3 and the future of NLP.

How do NLP & Text Analytics Work?

natural language processing women standing near data extraction chart
Extracting text from Pictures and Audio

Data extraction | Data Transformation | Linguistic Extraction | Text Extraction

natural language processing man coding on computer
Machine Learning Algorithm Prototyping & Validation using Converted Text Data

Summarization | Classification | Information Extraction | Contextual Search

natural language processing woman presenting data chart
Scalable Architecture to Support Real Time Seach Queries

Cloud | Parallel Processing | Network Configuration

Natural Language Processing Fact Sheet

Download the PDF

Mosaic compiled a sheet examining the rise of NLP & intelligent text processing.

Natural Language Processing in 3 Steps

Parsing Unstructured Data

Summarize and prepare data for analysis using machine learning algorithms

Machine Learns what to find in the text

Train machine learning algorithms to quickly pull relevant information from the structured data

Real-time Outputs

After the algorithms classify the information, scale data architecture to support real-time queries.

By bringing dynamic software development & expertise into deep learning development, Mosaic Data Science is poised to build a custom AI language processing system that will save your firm millions.