Transform your data
in knowledge

DoRIS text analysis solution facilitating access to unlimited resources of knowledge accumulated
in the form of unstructured documents, stored in local resources and in private and public clouds.

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  • DoRIS - text analytics

Always find the information you are looking for

Accurate access to documents containing answers to your questions.

Reduce the search time for content and context.
Centralize access to distributed information resources.
Predict interesting documents.
Eliminate redundant workload for documents already produced.

DoRIS

Document Repository Intelligent Search

DoRIS is an advanced system which, thanks to the mechanisms of artificial intelligence and machine learning, accurately types searched documents in the repository, selects their content and gives unique attributes.

It allows organizations to move from manual, time-consuming work to reading text automatically and making quick decisions.

Implementation benefits

Shortening the search time for content and context, thanks to the use of document features.

Precise typing of interesting documents thanks to the "understanding" of the document content, the intention of the inquiry and the user's needs.

Eliminate redundant workload on documents already produced by detecting duplicates and similar documents.

Save time on describing documents thanks to automatic retrieval of keywords, named terms, generation of abstracts and classification.

Centralized access to dispersed information resources through integration with commonly used content management tools.

Reduction of the uncertainty in the decision-making process by extracting data from the dark-data area.

 

Functionalities

OCR
Recognize text from an image.

Metadata
Extracting metadata, keywords, named entities.

Recommendations
Document recommendations based on user behavior.

Automatic summary
Automatic document summaries allowing you to get
the most relevant context out of large documents.

Extracting content
Intelligent extraction of the document content (automatic keyword description describing the document).

 

History
Full history of user activity.

Repository
Persistent document repository with page preview.

Search
Full-text search including typos, negations, word completions or metadata.

Tagging
The ability to tag documents and edit metadata by the user.

Automatic cataloging
Automated document cataloging (based on flexibly defined user categories).

Do you need other text analytics solutions?

Thanks to "understanding" the content of the document, understanding the intention of the inquiry, the system finds the documents most relevant to the User's inquiry.

Document classification

Automatic assignment to the type of case and launching the appropriate document handling process.

Companies have huge amounts of unstructured data (e-mails, pdf presentations, graphics) that are unused because or require manual retrieval. Automatic classification of documents (into individual categories) gives them an appropriate structure, so you don't waste time manually cataloging / marking /, and searching in a specific data directory is much easier.

Klasyfikacja dokumentu
Wyszukiwanie dokumentów podobnych

Search for similar documents

Search for documents with similar content or phrases
to the reference document.
A fast disk search algorithm finds similar documents, which allows the use of already existing content. In this way, we save on the work that we do only because we are not aware of the results in a given area.

Elimination of duplicates

Searching for documents in the repository in multiple copies (duplicates).
A repository often has a huge amount of duplicates that unnecessarily take up disk space. A fast disk search algorithm allows you to find and delete them.

Eliminacja duplikatów
Rekomendacje

Recommendations

Find before you search. Automatic and accurate proposition of other documents to the user.
Based on the user's profile and browsing history, the system searches for documents that the user may be interested in or that may be useful in performing his duties.

Document summary

Maximum content, minimum words - automatic text shortening
to their most important content / content.
It takes a long time to read a large amount of text and find relevant information
and it can be exhausting. Thanks to the automatic abstract function, only the necessary information is extracted from the text.

Streszczenie / podsumowanie dokumentu
Automatyczne przypisywanie słów kluczowych

Automatic keyword assignment

Automatic detection of keywords from large databases and their assignment to the document.
Traditional search engines based on user-entered keywords can be ineffective due to the natural tendency of users to minimize effort that does not lead to immediate benefit results. By generating keywords, the system fills the gap related to the document description.

Cognitive / semantic / word meaning search

Searching for content not only using keywords but taking into account the meaning of the words. The search engine understands the context of the search query.
Thanks to cognitive search, you can search for content not included directly in the keywords themselves and described using phrases other than the ones used in the query, e.g. documents containing semantically similar words, concepts, relationships.

Wyszukiwanie poznawcze / semantyczne / według znaczenia słów

Additional functionalities

Preview of the document in the form of thumbnails

Preview of the document in the form of thumbnails. You can read the document without downloading it.

Preview of the document in the form of thumbnails

Search in external systems

The ability to search in one place also in external data sources - without leaving the system.

Search in external systems

According to Of the IDC 2017 report, "IDC PlanScape: Data Intelligence Software for Data Governance", a large part of the time devoted to data management is time wasted on activities not directly related to the substantive content of the data. Employees are not able to efficiently find, compare, prepare and protect data. According to IDC, employees spend an average of 8 hours and 24 minutes per week on activities related to the preparation and retrieval of data.

The DoRIS solution addresses these problems and supports information management

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