基于词激活力的关键词置信度评估算法(英文)-豆柴文库

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基于词激活力的关键词置信度评估算法(英文)
Introduction
Theimportanceofkeywordconfidenceassessmentcannotbeunderstatedinthedomainofnaturallanguageprocessing.Infact,itiscrucialinsentimentanalysis,textclassification,anddocumentsummarization,amongothers.Confidenceassessmentinvolvesanalyzingtheaccuracyofthekeywordsextractedfromacorpusoftext.However,traditionalmethodsofkeywordassessmentareinadequateastheyrelysolelyonstatisticalmeasureswhichdonotconsiderthesemanticcontextofthekeywords.Inthispaper,wepresentanovelapproachthatuseswordactivationenergiestoevaluatetheconfidenceofextractedkeywords.
Methodology
Theproposedkeywordconfidenceassessmentalgorithminvolvesthefollowingsteps:
1.Preprocessing:Thecorpusoftextisfirstpreprocessedtoremovestopwordsandperformstemming.
2.Keywordextraction:Thealgorithmthenidentifiesallrelevantkeywordsfromthepreprocessedtext.
3.Semanticcontextanalysis:Foreachextractedkeyword,weanalyzeitscontextualmeaningbyexaminingthewordsthatfrequentlyco-occurwiththekeywordinthecorpus.
4.Wordactivationenergycalculation:Usingastatisticalmodel,wecalculatetheactivationenergyforeachofthekeywordanditscontextwords.Thisactivationenergyrepresentstheforcethatmotivatesthewordtobeexpressedinthedocument.
5.Confidenceassessment:Usingthecalculatedactivationenergy,wethenanalyzethereliabilityoftheextractedkeyword.Ahighactivationenergyforakeywordsuggeststhatitislikelytoappearinadocument,whereasalowactivationenergyindicatesotherwise.
ResultsandDiscussion
Toevaluatetheeffectivenessofourproposedalgorithm,wetesteditonseveraldatasetsandcompareditsresultsagainstotherstate-of-the-artkeywordconfidenceassessmenttechniques.Theperformanceoftheproposedalgorithmwasmeasuredusingprecision,recall,andF1-scoremetrics.
Wefoundthatouralgorithmyieldssuperiorprecision,recall,andF1-scorevaluescomparedtotraditionalstatisticalmeasures.Furthermore,itexhibitsahigherdegreeofaccuracyinidentifyingrelevantkeywordsduetoitsabilitytoconsiderthesemanticcontextofthekeywords.Inaddition,ourapproachisflexibleandcaneasilybeintegratedwithothe