Transform unstructured documents into highly precise data

intellisearch | unstructured data | structured data | intelligent search

Conventional search systems relying on basic keyword searches often struggle to grasp the underlying meaning of a query, leading to imprecise results. Wissen's intelligent search - Intellisearch, however, goes beyond this limitation by uncovering topic-specific documents and precisely identifying the most relevant paragraphs for a given query. Powered by an advanced Natural Language Processing (NLP) pipeline and statistical analysis, this system excels at comprehending both grammatically correct and incorrect questions, as well as queries involving time periods.

What is Intellisearch?

Intellisearch combines various NLP techniques, such as dependency graph extraction, word embeddings, and term frequency-inverse document frequency (tf-idf), to create a sophisticated solution. This solution extracts triples from both the unstructured text in the corpus and the questions, which facilitates contextual search by storing both syntactic and semantic information. To present the most relevant information from the reports for a specific question, the solution employs scoring and ranking algorithms. Furthermore, it retrieves information from different types of content within the reports, including paragraphs and tables (even those embedded as images). Additional features of the solution include Rationale for the Result and Unsupervised Learning. It supports incremental load, scalability, and accommodates variations of questions.

Why Intelligent Search?

Documents, queries, and paragraph relevance scoring using Lexical, linguistic, and semantic analysis. (between query and paragraph).

Modular NLP pipelines.

Linking unstructured data, with internal and external structured data to drive analysis.

Robust and extensive pre-processing of text to produce a deeply enriched version of the input. Unstructured content such as free-form text, HTML documents, images, and tables are converted into intermediate form and stored as triples.

Leverages hierarchical property of document text to boost relevance score.

Highly scalable.

How it Works?

intellisearch | unstructured data | structured data | intelligent search

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