Improving Solr search with Natural Language Processing : an NLP implementation for information retrieval in Solr
A. Lager. Linköping University; Department of Computer and Information Science, Linköping, Bachelorarbeit, (2021)
Abstract
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 under-
stand 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 making
it 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.
%0 Thesis
%1 lager_improving_2021
%A Lager, Adam
%C Linköping
%D 2021
%K suchmaschinen texttechnologie
%T Improving Solr search with Natural Language Processing : an NLP implementation for information retrieval in Solr
%U https://www.diva-portal.org/smash/get/diva2:1577525/FULLTEXT01.pdf
%X 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 under-
stand 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 making
it 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.
@phdthesis{lager_improving_2021,
abstract = {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 under-
stand 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 making
it 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.},
added-at = {2021-10-02T13:41:53.000+0200},
address = {Linköping},
author = {Lager, Adam},
biburl = {https://www.bibsonomy.org/bibtex/206da0ef8645982885e2fca2568700c05/lepsky},
interhash = {e4dcdafa03ecada90561d189508c8dca},
intrahash = {06da0ef8645982885e2fca2568700c05},
keywords = {suchmaschinen texttechnologie},
language = {en},
school = {Linköping University; Department of Computer and Information Science},
timestamp = {2021-10-02T13:41:53.000+0200},
title = {Improving {Solr} search with {Natural} {Language} {Processing} : an {NLP} implementation for information retrieval in {Solr}},
type = {Bachelorarbeit},
url = {https://www.diva-portal.org/smash/get/diva2:1577525/FULLTEXT01.pdf},
year = 2021
}