Back to top

Text Analytics Solutions

Design, Implementation, and Support for Custom Text Analytics Applications

text analytics solutionsAbout 80% of enterprise data is unstructured (consider social media, emails, phone conversations, support queries, customer reviews, text documents, etc.). But data structure is important for knowledge discovery and analytics.

Text analytics solutions can help add structure to unstructured text, helping organizations gain insights from the vast amount of unstructured content:

  • Identify entities and key terms to derive a better understanding of the text content
  • Normalize the entities to reduce the variability in the terminology
  • Lemmatize and filter to help sort and group together inflected or variant forms of the same word
  • Remove words that are too common and would not be useful for analyzing the text content 
  • Identify sections of the document that could be useful and tag each with a specific purpose

As there is a wide range of text analytics solutions and approaches, it is crucial to identify your use cases and requirements in order to build a solution that would work best for your goals.


As data grows and business demands better insights, we’ve helped clients integrate multiple tools, techniques, and approaches to build powerful text analytics solutions, such as:  

  • Extracting fielded data and relationships – analyzing doctor’s patient notes, legal contracts, vendor agreements, etc.
  • Enhancing semantic search for intranet or public website search – connecting employees to business data, charts, information, and resources
  • Chatbots and customer support engines – answering questions, directing users to manuals or products, and automatic answering and rerouting of requests
  • E-commerce personalization – improving sentiment analysis, search relevancy, targeted responses, and personalized results based on query intent
  • Document understanding and categorization – analyze the content of enterprise documents in order to identify the document types and automatically route them to the appropriate business departments


Our focus is to help organizations gain the most value from unstructured data to solve complex challenges. We bring our text analytics expertise to assist you with a full range of tasks required to extract insights from unstructured and semi-structured data, including:

  • Application assessment and strategy consulting
  • Data acquisition
  • Data cleansing, formatting, and enrichment
  • Text extraction and text mining
  • Natural language processing (NLP)
  • End-user search and analytics application development 


Our technology assets have enabled clients to acquire and search across unstructured data in the most efficient and impactful way. These technology assets are search engine agnostic and work with a wide range of open source and commercial platforms, including Elasticsearch, Solr, SharePoint, Azure Search, etc.

Contact us for an informal discussion of your text analytics application requirements.