NATURAL LANGUAGE PROCESSING SOFTWARE AND SUPPORT SERVICES Solicitation ID/Procurement Identifier: HHSN316201500008W Ultimate Completion Date: Thu Sep 29 17:00:00 GMT 2022
First published Tuesday, May 23, 2023 The University intends to award a contract for Natural Language Processing (NLP) Software to Pangaea Data Limited, San Francisco, CA, for an estimated $200,000.
Presently, WatCo is looking to secure the services of a consultant to provide market assessments for "Speech Processing and Natural Language Understanding AI Software" - RFQ# 19-024. The selected consultant(s) will be named in an NSERC funding application, which must be approved before the project is financed. The maximum budget for this project is $20,000 CAD.
Text mining and interaction mapping tools are an essential part of interpreting science data and predicting clinical response.General InformationThe objective is to acquire Concurrent User Licenses for a Natural Language Processing (NLP) software platform that will to allow data mining of FDA internal documents and external literature sources such as FDA Drug Labels, MEDLINE and other databases.
Background: VA has a requirement for an Artificial Intelligence (AI)-based text classifier utilizing Machine Learning (ML), Natural language Processing (NLP), and Chatbot software for patient interaction to identify suicidal ideations or likely self-harm in text responses for Veterans calling into the Veterans Crisis Line (VCL). VA currently processes these text based responses with the Medallia survey rules-based decision engine.
California has the highest number of new mesothelioma cases and deaths per year, and most cases are pathologically confirmed.A unique California law required using a type of natural language processing/machine learning computer software to automate identification of cancer cases from pathology reports to improve electronic submission of cancer pathology reports to cancer registries.
WORD PROCESSING SERVICES Solicitation ID/Procurement Identifier: 2043FY20D00001 Ultimate Completion Date: Mon Mar 31 17:00:00 GMT 2025
