It’s for Data Professionals, Business Users, SME’s and Developers
Make raw text data more accessible, understandable and actionable with user-defined topics that produce highly precise results you can see, control and measure. Mine data 24/7 from databases, subscription-based feeds, emails, documents and other sources based on content, intent and your domain subject matter expertise so you can make better business decisions. Ease of use and transparency enables collaboration between non-technical and technical people, providing and a rapid path to efficiency so you can get the most out of your data and automate while keeping the humans in command.
How Text Mining With DataScava is Different
- It uses our proprietary Domain-Specific Language Processing (DSLP) and patented Weighted Topic Scoring (WTS) methodologies.
- Ensures data quality is high to reduce the risk of suggested actions and measures their output.
- Works top-down through your entire corpus at the file level, not at the sentence level, and excels at navigational search.
- Indexes and measures raw text, identifies and highlights content in on-topic files and eliminates irrelevant ones.
- Summarizes textual content in a usable, numerical form for routing purposes or to trigger an action using a process that is adjustable by users.
- Does not use NLP/NLU or semantics to try to disambiguate natural language or interpret what you’re looking for — it finds what you are looking for.
- Encapsulates your organization’s subject matter expertise, business language, jargon and acronyms in your software on an ongoing basis.
Surface Relevant Information Faster
DSLP and WTS work as an alternative or adjunct to Natural Language Processing (NLP).
DataScava mines your data around the clock and continually refines its capabilities in a measurable way at the direction of users