Artificial Researcher

Summary

Provider:

Artificial Researcher IT GmbH

Description:

Artificial Researcher is an information technology company and a start-up in the text mining industry. We are specialists in developing novel and innovative cross genre scientific text mining systems tailored to the needs of researchers and information search professionals, such as client customized indices for local deployment.

Part of the text mining technology was developed during our CEO Linda Andersson's PhD work at Technical University of Vienna (TU Wien), for example the passage retrieval, the automatic query formulation, and a merging method of document index and paragraph index. Our system solutions offer our customers and clients a market advantage, we reduce their efforts in terms of time spent searching and reviewing information.

Categories:

Natural Language Processing

Fee:

A credit tier pricing model per service
A flat monthly subscription licensing to all services
Offer free test credits to all services

Website:

https://artificialresearcher.com/

Included Data

Data:

EP full-text data for text analytics collection

Open access scientific publications provided by Core.uk with access to over 205 million publications

Type of Search

Type:

Bibliographic data, Taxonomy, Keyword in Context

Type of queries: text segment or Boolean syntax

Other request options:
Automatic term detection, Query Expansionterms, Sematic similarities between text segment

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Methods Used

Methods:

Software: Solr, Kubernetes, Docker
Open source AI software: SciBERT and SPECTER

Program language: python, java, goo, perl and c++.

To develop text mining tools for scientists and patent experts, we need tounderstand their daily work tasks, as well as the linguistic characteristics ofthe text genres. At the core of our R&D we focus on developing softwarewhich make use of both supervised and unsupervised techniques for text miningtools. We derive our text mining solution from the linguistic characteristic ofa text genre as well as the language. For more details please download ‘Artificial Researchers services technical summarization’

Value Added Data

Data:

Automatic identified keywords based on scientific domain

Cross genre taxonomy

MeSH

CPC and IPC

Direct access to relevant paragraphs in document/passages

Interface

API Available:

Yes, Rest API Client Software GUI available, developed on request

API Link:

Analysis Included