BEP NLP for Lessons Applied
This project will utilise Natural Language Processing (NLP) techniques to automatically process and analyse lessons learnt data to provide insights that aid better and more efficient project delivery. This NLP technique will also enable automatic classification ('tagging') of data within the pipeline. These techniques can be developed further into the predictive data analytics space to achieve our lessons applied vision. This project will create a prototype only.
Buyer
Environmental Agency
Value
£266,439
Published
28 Jul 2023
Closes
23 May 2023
Procurement details
Source
Contracts Finder
Region
United Kingdom
Procurement method
Selective
Category
Services
Contract starts
23 May 2023
Contract ends
30 Aug 2023
CPV classifications
90700000
Environmental services
Lots
Lot default BEP NLP for Lessons Applied
£100,000
This project will utilise Natural Language Processing (NLP) techniques to automatically process and analyse lessons learnt data to provide insights that aid better and more efficient project delivery. This NLP technique will also enable automatic classification ('tagging') of data within the pipeline. These techniques can be developed further into the predic...
Delivery: London · United Kingdom, London, United Kingdom
Documents
Unlock document linkAwarded contract notice on Contracts Finder
8 Jun 2023
Awarded contract notice on Contracts Finder
Award notice · Web page
BEP NLP Lessons Applied DPEL Final v1.0_Redacted
Not provided
BEP NLP Lessons Applied DPEL Final v1.0_Redacted
Awarded contract notice on Contracts Finder
20 Jun 2023
Awarded contract notice on Contracts Finder
Award notice · Web page
BEP NLP Lessons Applied DPEL Final v1.0_Redacted
Not provided
BEP NLP Lessons Applied DPEL Final v1.0_Redacted
Awarded contract notice on Contracts Finder
28 Jul 2023
Awarded contract notice on Contracts Finder
Award notice · Web page
BEP NLP Lessons Applied DPEL Final v1.0_Redacted
Not provided
BEP NLP Lessons Applied DPEL Final v1.0_Redacted
Contains public sector information licensed under the Open Government Licence v3.0.