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Natural Language Processing (NLP) Services

Gain Better Insights from Your Unstructured Data

Natural Language Processing (NLP) is fast becoming an essential skill for modern-day organizations to gain a competitive edge. It has become an essential tool for many new business functions, from chatbots, intelligent search, and question answering systems to sentiment analysis, medical insights, compliance monitoring, recruiting, threat detection, document understanding, and BI and analytics on unstructured and semi-structured content.

Consider all the unstructured content that can bring significant insights – queries, email communications, social media, videos, customer reviews, customer support requests, etc. Natural Language Processing (NLP) tools and techniques help process, analyze, and understand unstructured “big data” in order to operate effectively and proactively.  

Our Natural Language Processing services support a range of business applications, from data acquisition and processing to analytics, entity extraction, fact extraction, and question answering systems (think of a digital assistant built uniquely for your enterprise).

 

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UNSTRUCTURED DATA ACQUISITION

For over a decade, we’ve helped organizations acquire unstructured content from external and internal sources for search and analytics. Our consultants are experienced in identifying and extracting data using:

RAW LANGUAGE PROCESSING 

As raw data varies from different sources, once the content is acquired, we bring data cleansing and formatting services to ensure your data is properly prepared for the highest-quality results. 

  • Determine the format (e.g. PDF, XML, HTML, etc.)
  • Extract text content
  • Identify and remove irrelevant sections (common headers, footers, sidebars, boilerplates)
  • Identify differences and changes
  • Extract coded metadata
  • Token extraction, normalization, and cleansing
  • Phrase extraction

TEXT MINING, TEXT EXTRACTION, AND QUERY UNDERSTANDING FOR IMPROVED SEARCH

In many use cases, the content is written down in a natural language (such as English, Chinese, Spanish, etc.) but not conveniently tagged. We have the tools and techniques to help you extract information from this content. Some levels of text mining, text extraction, or possibly full-up NLP may be leveraged.

Typical full-text extraction includes:

  • Entity extraction – such as companies, people, dollar amounts, key initiatives, etc.
  • Content categorization – positive or negative (e.g. sentiment analysis); by function, intention or purpose; or by industry or other categories for analytics and trending
  • Content clustering – to identify main topics of discourse and/or to discover new topics
  • Fact extraction – to fill databases with structured information for analysis, visualization, trending, and alerting
  • Relationship extraction – to fill out graph databases to explore real-world relationships

STATISTICAL LANGUAGE PROCESSING

In many NLP projects, statistical techniques can provide a general understanding of the document as a whole. Example statistical processing use cases with which we’ve worked include:

  • Clustering
  • Categorization
  • Similarity
  • Topic analysis
  • Word clouds
  • Summarization

TECHNOLOGY ASSETS TO SUPPORT NATURAL LANGUAGE PROCESSING (NLP)

Insight-driven enterprises are increasingly seeking to leverage the vast unstructured data to accelerate and improve business results. But existing natural language processing technologies are not fulfilling enterprise demands – they are too narrow (chatbots), too shallow and generic (cloud-based natural language processing solutions), or too costly to develop, deploy, and maintain.

As part of our collection of technology assets, Saga Natural Language Understanding (NLU) is a scalable, cost-effective, easy-to-use framework that fills the gaps in existing NLP/NLU technologies. Learn more about Saga and request a demo.

QUESTION ANSWERING SYSTEM DEVELOPMENT

A question answering system (also known as "Insight Engines" - a term coined by Gartner) parses queries for natural language questions and then integrates with back-end systems to deliver direct answers rather than just a list of results containing the keyword.

A question answering system can be built using our Natural Language Processing expertise combined with an advanced and scalable set of natural language processing tools which can perform all of the necessary functions for query understanding. Our NLP tools include:

  • Tokenization
  • Acronym normalization
  • Lemmatization
  • Sentence and phrase boundaries
  • Entity extraction (all types but not statistical)
  • Statistical phrase extraction
  • Question pattern recognition
  • Statistical disambiguation
  • Question-answer to action response
  • Business user interfaces (see below)


Benefits of an NLP Question Answering system:

  • A number of business user interfaces are available for entering and maintaining entities and patterns. These interfaces allow business users with no programming experience to enter and maintain common entities and question/response patterns.
  • Programmer intervention is only required to integrate with back-end systems. 
  • The answers can be pulled from relational databases, RESTful APIs to any business system, or from the search engine results. 
  • Depending on your requirements, answers can be formatted as a natural language response or as a chart, report, or interactive graphic. 


Contact us to learn more about our Natural Language Processing services and discuss your requirements.

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