NLP Consulting and Text Analysis

data strategy . nlp and machine learning . generative ai

Knowledge extraction from unstructured data and document curation using NLP models.

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Johnson Controls
EPRI
IBM
Solano County
Echo
Wells Fargo
New York Times
Sempra Energy
Pep Boys
SoCal Gas
Excellus
Santa Clara Valley Medical Center
Cablevision

15+ YEARS EXPERIENCE IN NLP CONSULTING FOR
TECH, INDUSTRIAL COMPANIES, UTILITIES & MORE

Uncover insights by applying natural language processing (NLP)
to human language in documents and unstructured text

  • Develop AI solutions – Tag documents for search, research, and richer knowledge extraction

  • Quantify issues: – Track the incidence rate of identified concepts using NLP

  • Find features and patterns – Use text mining to explore unstructured text data, and use the findings to create predictive models

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client success snapshots

NLP Consulting and Text Mining Use Cases

Built a custom NLP dictionary to speed information retrieval

To run text mining and machine learning algorithms, our client needed a dictionary of technical terms relevant to their domain. As a proof of concept, we created a custom dictionary for AI solutions. The project enabled the client to automate review of highly technical documents to accelerate information extraction.

Identify trends and insights from unstructured data

Researchers needed a more efficient way to access complex information. We developed state of the art NLP algorithms to analyze 1000’s of emails, reports, and regulatory filings. Key facts and select data were indexed into a knowledge network for easy retrieval, enabling our client to quickly gain valuable insights for faster decisions and filings.

Find co-occurring events and conditions to improve operations

We extracted co-factors from Event Incident Reports that helped to identify new patterns. Text mining was used to find commonalities in causes to help improve safety and reliability in plant operations. These co-occurring events were hidden within text and could only be discovered with natural language processing and text mining.

Work Orders, Computerized Maintenance Management Systems, and Other Internal Documentation

You may never thought of your company’s internal documentation as a source of data for analysis. However, NLP can help automate the processing of these documents for insights, anomaly detection, and operational efficiency.

Work orders often contain valuable, but unstructured text data that can be analyzed using Natural Language Processing (NLP). What can you learn from work orders?

  • Automated Categorization: NLP can help automatically classify or categorize work orders based on the description of the problem or request. This can help route the work order to the right team or personnel, improving efficiency.
  • Trend Analysis: By analyzing the language used in work orders, NLP can help identify trends, root causes, or recurring problems, assisting in problem-solving and decision-making.
  • Predictive Maintenance: By processing work order data alongside other sources of information, NLP can help detect patterns that predict future maintenance needs, enabling preventive action.
  • Anomaly Detection: By understanding the normal language pattern of work orders, NLP can flag unusual or suspicious requests for further investigation.

In the era of Industry 4.0, operating and equipment logs are increasingly being automated and digitized, allowing for real-time monitoring and analysis, predictive maintenance, and more efficient operations.

Let’s put your data to work

Features of our NLP solution

  • Proven track record of successful deployment of NLP and machine learning
  • Expertise in NLP techniques such as fact extraction, named entity recognition, topic modeling, sentiment analysis, and text summarization
  • Leverages algorithms for deep learning and machine learning, including neural networks and large language models (LLM)

Advantages of our NLP consulting

  • Smoothly transition from Proof of Concept (POC) to NLP project deployment
  • Efficiency and scalability in data analysis, allows for faster decision making and more informed decisions
  • We help you stand up an in-house AI organization and shepherd your team to independence

Benefits of Artificial Intelligence

  • Increase efficiency of manually-intensive business processes
  • Gain actionable insights from large amounts of unstructured text data
  • Extract data from documents, email, and narrative reports

Top 5 ways to increase business value using unstructured data and NLP

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text analytics