Return to search

Improving Solr search with Natural Language Processing : An NLP implementation for information retrieval in Solr / Att förbättra Solr med Natural Language Processing

The field of AI is emerging fast and institutions and companies are pushing the limits of impossibility. Natural Language Processing is a branch of AI where the goal is to understand human speech and/or text. This technology is used to improve an inverted index,the full text search engine Solr. Solr is open source and has integrated OpenNLP makingit a suitable choice for these kinds of operations. NLP-enabled Solr showed great results compared to the Solr that’s currently running on the systems, where NLP-Solr was slightly worse in terms of precision, it excelled at recall and returning the correct documents.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-177790
Date January 2021
CreatorsLager, Adam
PublisherLinköpings universitet, Programvara och system
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

Page generated in 0.0015 seconds