Editing Text mining (section)

==== Methods for scientific literature mining ====
Computational methods have been developed to assist with information retrieval from scientific literature. Published approaches include methods for searching,<ref>{{Cite book|last1=Shen|first1=Jiaming|last2=Xiao|first2=Jinfeng|last3=He|first3=Xinwei|last4=Shang|first4=Jingbo|last5=Sinha|first5=Saurabh|last6=Han|first6=Jiawei|date=2018-06-27|title=Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach|publisher=ACM|pages=565–574|doi=10.1145/3209978.3210055|isbn=978-1-4503-5657-2|s2cid=13748283}}</ref> determining novelty,<ref>{{Cite journal|last1=Walter|first1=Lothar|last2=Radauer|first2=Alfred|last3=Moehrle|first3=Martin G.|date=2017-02-06|title=The beauty of brimstone butterfly: novelty of patents identified by near environment analysis based on text mining|journal=Scientometrics|volume=111|issue=1|pages=103–115|doi=10.1007/s11192-017-2267-4|s2cid=11174676|issn=0138-9130}}</ref> and clarifying [[homonym]]s<ref>{{Cite journal|last1=Roll|first1=Uri|last2=Correia|first2=Ricardo A.|last3=Berger-Tal|first3=Oded|date=2018-03-10|title=Using machine learning to disentangle homonyms in large text corpora|journal=Conservation Biology|volume=32|issue=3|pages=716–724|doi=10.1111/cobi.13044|pmid=29086438|bibcode=2018ConBi..32..716R |s2cid=3783779|issn=0888-8892}}</ref> among technical reports.