基于Python的文献检索系统设计与实现-豆柴文库

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基于Python的文献检索系统设计与实现
1.Introduction
Withtheexplosivegrowthofscientificliteratureinrecentyears,ithasbecomeincreasinglychallengingforresearcherstokeepupwiththelatestresearchdevelopmentsintheirfieldofstudy.Toaddressthisissue,variousautomatedapproacheshavebeendevelopedtoassistresearchersinefficientlysearchingandretrievingrelevantliterature.Inthispaper,weproposeaPython-basedliteraturesearchsystemthatenablesresearcherstosearchandextractinformationfromavastcollectionofscientifictexts,makingliteraturesearchmoreconvenientandeffective.
2.LiteratureReview
Theexistingliteraturesearchsystemscanbebroadlycategorizedintotwotypes:manualandautomated.Manualapproachestypicallyinvolvesearchingthroughbibliographicdatabases,suchasPubMedorWebofScience,whichrelyonkeywords.Althoughmanualapproachescarrytheadvantageofbeingmorereliable,theyaretime-consumingandrequirein-depthknowledgeofthesearchdatabases.Ontheotherhand,automatedapproaches,suchastextminingandmachinelearningmethods,havebeendevelopedandwidelyemployedtotackletheselimitations.Thesemethodshaveproventobeeffectiveinidentifyingrelevantliteratureandextractingusefulinformation.
Inrecentyears,variousprogramminglanguageshavebeenusedtodevelopliteraturesearchsystems,includingJava,Perl,andPython.ThepopularityofPythonhasincreaseddramaticallyduetoitssimplicityandversatility,makingitanexceptionaltoolforscientificresearch.
3.Methodology
Theproposedliteraturesearchsystemconsistsoftwomaincomponents:(1)asearchenginethatcanretrieverelevantliteraturebasedonuserinput,and(2)ananalysiscomponentthatcanextractusefulinformationfromtheretrievedliterature.Thesystemisdesignedtobeuser-friendly,enablingresearcherstoeasilyinputtheirsearchqueryandreceiveinformationthatisrelevanttotheirresearch.
3.1SearchEngine
ThesearchenginecomponentofthesystemisimplementedusingPython'spandasandBeautifulSouplibraries.Thepandaslibraryisusedtoreadandstorealargecollectionofscientificpapersinastructuredformat.TheBeautifulSouplibraryisusedtoparseHTMLdocumentsandextractrelevantdatafromth