How is readability score important in SEO?(10)does the text matter63-第6页
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(10)does the text matter63-6
RoyFreedleandIreneKostin；v3CFrontedstemCnumberoff；v7CNegativecorrectCnumbe；Vocabularyvariablefortex；v15CVocabularyvarietyCnu；Concreteness/abstractnes；v16CConcretenessCtextfoc；Subje
RoyFreedleandIreneKostin27
v3CFrontedstemCnumberoffrontsinstemincludinguseofclefts(Itwascold);phrasesorclausesprecedingsubjectofmainclause(Intruth,he?ed.But,becauseheslept,herevived.Etc.)ReferencesinstemCsumintertextualreferentialseitherwithinclauses(He,thegeneral,fought),acrossclauses(Jthathurt)and/orextratextualreference(Oneneedstostudy).v4CVariablesforitem’scorrectoption(examples:seev1tov4)v5CAnswerpositionCtheordinalpositionofthecorrectoptionv6CWordscorrectCnumberofwordsincorrectoptiona
v7CNegativecorrectCnumberofnegativesincorrectoptionv8CFrontingcorrectCnumberoffrontingsincorrectoptionv9CReferencecorrectCnumberofreferentialsincorrectoptionVariablesforitem’sincorrectoptions(examples:seev1tov4)v10CWordsincorrectsCtotalnumberwordsinallincorrectoptionsv11CNegativeincorrectsCtotalnegationsusedinallincorrectsv12CFrontedincorrectsCtotalfrontingsusedinallincorrectsv13CReferenceincorrectsCtotalreferentialsusedinallincorrectsaTextVariables
Vocabularyvariablefortextv14CVocabularyCnumberwordswithmorethantwosyllablesamong?rst100words
v15CVocabularyvarietyCnumberdifferentwordsusedwithmorethantwosyllablesamong?rst100wordsa
Concreteness/abstractnessoftext
v16CConcretenessCtextfocusedprimarilyonconcreteimagery(e.g.,apple,car)asopposedtoabstractimagery(justice,truth)(5=1=mostlyabstract)
v27CmattervariablesoftextPhysicalscience(1=0=no)Lifescience(1=0=no)Socialscience(1=0=no)Humanities(1=0=no)Arts(1=0=no)Miscellaneoustopic(1=0=no)aSightseeingtopic(1=0=no)aExtracurriculartopic(1=0=no)aUniversityproceduretopic(1=0=no)aAcademicproceduretopic(1=0=no)aSumofNonacademictopics(sumofv22throughv26)TypeofrhetoricalorganizationC(seeMeyer,1985)
v28CArgument(authorfavorsoneofseveralviewpoints)
v29CList/describe(rhetoricalstructureuseslistoftextelementsoradescriptive‘list’)v30CCause(authorusesacause/effecttypetextorganization)v31CCompare(authorusesacompare/contrasttypeorganization)
28Multiple-choicetestsofcomprehension
v32CProblem/solution(authorusesproblem/solutionorganization).(Forv28throughv32a1=0=no)
Coherenceoftext
v33CCoherence(3=0=mincoherence).Highcoherencemeanselementsofopeningtextsentencedenselyrepresentedthroughouttext,etc.
v36CofvarioustextsegmentsTextwords(numberofwordsintext)Textsentences(numberofsentencesintext)aText’saveragesentencelength
Occurrenceofdifferenttextfrontings(frontingexamples:seev3)v37CPercentfrontedtextclausesa
v38CFrequencyfrontedtextclauses
v39CFrequencycombinationsoffrontedtextstructures
v40CFrequencyoftextclefts(Itisashame.Therearemany.)v41CLongestfrontedrun(maxnumberconsecutivefrontedtextclauses)
Textquestions
v42CTextquestions(numberofinterrogativetextsentences)Textreferentials(frequencyofoccurrencepervariable)
v43CReferencewithintextclauses(He,theboss,left.)
v44CReferenceacrosstextclauses(Georgecame.Thenheleft.)v45CFrequencyspecialreference(Onecanalwayshope.)
v46CReferencesums(sumofv43throughv45)a
Textnegations(examples:no,not,unclear,pointless)
v47CTextnegatives(totalnumberofnegationsintext)
SpecialListeningTextVariables
v48CFrequencywordsemphasizedintext(numberwordsemphasizedintypescriptoftalk)
v49CFrequencypauses(totalnumberof?lledpauses‘um’‘er’andun?lledpauses%intypescriptoftalk)
v50CNo.wordsinlead-in(wordsinthespokendirectionpriortotalkproper.E.g.,‘Listentothefollowingtalk.’)
v51CLead-inoverlapswithtext(overlapornotofanycontentwordinlead-inwiththetextproper.E.g.,‘Listentothetalkonart,’wheretheword‘art’mayalsooccuranywhereinthetalkproper.)
v52CNo.offocalshifts(Numberofpartsoftheminitalkinvolvingafocalshift.E.g.,‘I’mthenewteacher.ThehistoryofRomeisquiteinvolved%.Classisnowdismissed.’Thisexampleconsistsofthreeepisodesor‘focalshifts’Ctheintroductorystatement,thelectureproper,andthedismissalstatement.
v53CNo.wordspriorto‘lecture’content(usingtheexampleinv52,it’sthenumberofwordsthatprecedethe‘history’lecture,whichis4inthiscase).
RoyFreedleandIreneKostin29
Text/ItemOverlapVariables
Text/itemoverlapvariablesapplicableonlytomainideainformationmm1CMainideain1sttextsentencemm2CMainideain2ndtextsentencemm3CMainideain3rdtextsentencea
mm4CMainideaearlyintext(among1stthreesentences)mm5CMainideainmiddleoftextmm6CMainideaneartextend(2ndor3rdsentencefromtheend)amm7CMainideainlasttextsentencemm8CMainideaimplicitmm9CFirst20textwords,lexicalmatchwithcorrectoption(Lexicalmatchesbetween?rst20textwordsandword(s)incorrectoption)a
mm10CFirst20words,lexicalmatchincludingrelatedwords.Sameasmm9exceptincludesrelatedwords(‘Related’meansallmorphologicalvariantsCplurals,pasttense,etc.)mm11CFirst20textwords,lexicalmatchwithmostchosenincorrectamm12CFirst20textwords,lexicalmatchwithmostchosenincorrectincludingrelatedwords(e.g.,work/works)
Speciallisteningmainideavariablemm13CFrequentwordcount(suppose‘sleep’and‘home’furthersuppose‘sleep’occurs7timesintextwhile‘home’occurs2onlythefrequencyofthegreatercount,here‘7’isrecorded)a
mm14CFrequentwordcountplusrelatedwords(sameasmm13butincludes‘related’wordssuchassleep/sleepily)
Text/itemoverlapvariablesapplicabletoinferencesii1CUniquewordsamesentence(contentwordinstemcorrespondstouniquewordintextandrelevantinformationforansweringitemisinsametextsentence)ii2CInformationingeneralbeginningoftext(relevantinformationisamong?rstthreetextsentences)ii3CInformationmiddleoftext(relevantinformationinmiddle)ii4CInformationnearend(relevantinformationin2ndor3rdsentencefromendoftalk)ii5CInformationinlastsentence(lastsentencecontainsthecriticalinformation)ii6CWordsbeforecriticalinformationCnumberofwordsthatprecedethestartofthecriticaltextsentencecontainingtherelevantinformationforansweringtheitem.ii7CNumberwordsinkeytextsentenceCWordsinrelevantsentenceforansweringtheinferenceitem.Iftwosentencesarecritical,enterthenumberofwordsinthelongersentence.ii8CPercentlexicallymatchedwordsCpercentwordsincorrectanswerthatoverlapwithwordsinkeytextsentence(s)a
ii9CPercentlexicallymatchedwordsplusrelatedwords(sameasinii8includinglexicallyrelatedwords(e.g.,shirt/shirts)ii10CInformationRedundant(seeintroductionforfullde?nition).Ifansweringaninferenceitemdependsupontwotextsentences,andbothsentencesarecloseparaphrasesentera‘1’forthisvariable.
30Multiple-choicetestsofcomprehension
ii11CInformationComplementary(seeintroductionforfullde?nition).Ifansweringaninferenceitemdependsupontwo(ormore)textsentencesandonesentencepresentsinformationcomplementarytotheothersentence(s),thenentera‘1’forthisvariable.
Relevantinformationisinonlyonetextsentence.ii12C
Speciallisteninginferencevariable
ii13CAttractivenessofthecorrectoptionversusthemostchosenincorrectoption(seeintroductionforfurtherdiscussion).Thisvariableconsistsoftwoparts.The?rstpartevaluatesthecontentwordscommontothecorrectoptionandthetextandcomparesittothecontentwordscommontothemostfavoredincorrectoptionandthetext.Ifthecorrectoptionhasthegreaternumberofsharedwords,this?rstpartgetsscoredas+1,iftheincorrecthasthegreaternumberofsharedwordsthescoreis?1,ifthetwoareequalthescoreis0.Thesecondpartexamineswhichparticularwordfromthecorrectoptionandwhichwordfromthemostchosenincorrectoptionoverlapsmostoftenwiththetext.Assignascoreof+1ifthecorrectoptionhasagreateroverlapwithtextthanthemostfavoredincorrectoption.Score?1iftheincorrectoptionhasagreateroverlapscore.Andassigna0iftheyareequal.Addthetwopartsandenterthisasthe?nalscore.
Text/itemoverlapvariablesapplicabletosupportingideas
ss1CUniquewordsamesentence(contentwordinstemcorrespondstouniquewordintext,and,relevantinformationisinsamesentence)
ss2CUniqueword,earliersentence(contentwordinstemcorrespondstoauniquewordintext,butrelevantinformationisinanearliertextsentence)
ss3CKeystemword(s)occurinmultipleplacesintext
ss4CCriticalinformationingeneralbeginning(?rstthreetextsentences)
ss5CCriticalinformationinmiddleoftext
ss6CCriticalinformationnearend(2ndor3rdsentencefromend)ss7CCriticalinformationinlasttextsentence
ss8CNumberwordsbeforecriticalinformation
ss9CNumberwordsinkeytextsentence
ss10CPercentlexicallymatchedwordsa
ss11CPercentlexicallymatchedwordsplusrelatedwords
ss12CInformationRedundant(sameasii10aboveexcepthereitappliestoasupportingitemratherthananinferenceitem)ss13CInformationComplementary(sameasii11aboveexcepthereitappliestoasupportingitemratherthananinferenceitem)ss14CRelevantinformationinjustonetextsentence
Speciallisteningsupportingideavariable
ss15CAttractivenessofcorrect(sameasii13aboveexcepthereitappliestoasupportingitemratherthananinferenceitem)
RoyFreedleandIreneKostin31
ItemTypes(specialtypesoftext-by-itemoverlapvariables)tt1CInferenceapplication(e.g.,‘Whowasthespeaker?’)tt2CMainidea(e.g.,‘Whatisthemaintopicofthetalk?’tt3CInference(e.g.‘Accordingtothespeakeronecaninfer%’)tt4CSupportingidea(e.g.,‘Whatistheboilingpointoflead?’)DependentVariable
v54CItemdif?culty(equateddelta,astandardizedmeasureofdif?cultythatallowscombiningiteminformationacrossseveralTOEFLtestforms)
Note:Thesuperscript‘a’designatesvariablesthatwereexcludedfromallanalyses.Seemethodsectionforreasonsforexclusion.SlightlymoredetaileddescriptionsofthevariableslistedinAppendixAareavailableinFreedleandKostin(1996).
AppendixBSigni?cantcorrelationsofvariableswithitemdif?culty(equateddelta)
Signi?cantvariablesSamplesize
ItemVariables
v1v4v5v7v9v10v11Stem:wordsinstemStem:sumofreferentialsCorrect:positionofcorrectanswerCorrect:negativesCorrect:referentialsIncorrect:no.wordsIncorrect:no.negatives.133***?.062ns?.085*.125**.143***.146***.134***.175***?.093**?.090**.130***.175***.182***.148***(n=337)TextVariables
v14v16v17v18v19v20v21v27v28v29v31v32v41v45VocabularyConcretenessPhysicalscienceBiologicalScienceSocialscienceHumanitiesArtsNonacademictopicsArgueListrhetoricalComparerhetoricalProblem/SolutionrhetoricalLongestrunoffrontsOutsidetextreferentials?.157***?.067ns.087*.127**?.093**.091*.116**?.219***.096**?.200***.142***.130***.111**?.133***?.110**?.080*.082*.120***?.096**.105**.142***?.224***.096**?.218***.139***.145***.114**?.147***
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Road to Yoast SEO 3.0
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It all started long, long ago in a town far, far away (from most of you) when Joost came up with a major improvement for our Yoast SEO plugin. “Imagine”, he said, “imagine that you’d no longer have to wait for your post to be finished and saved to analyze the content. Imagine that changes you’d make are reflected in realtime. Wouldn’t that make life a lot easier?”
When we all agreed it would, he decided this would be done. And this is what happened…
First, we needed more JavaScript knowledge, as that would be the language of choice for the real-time analysis. So we hired
and March 23 we opened up a new repository on GitH .
Stand-alone text analysis
For a few months, a lot of work on the new js-text-analysis project was done and it slowly started to turn into a beta version. And that’s when we first spoke about it in public. On June 2, Joost wrote about the stand-alone version of the js-text-analysis on
asking for feedback. And as you can see in the comments, we received a lot of positive responses.
This encouraged us to move even further. Having a stand-alone library for text analysis allowed us to use it on other platforms as well. That’s why we teamed up with GoalGorilla and started working on Yoast SEO for Drupal.
API breaking changes
Meanwhile, we knew that switching from the old analysis to the new one meant change for everyone that integrated with our plugin. So on August 26 we announced API breaking changes in a , giving developers a chance to adapt to the upcoming changes in time.
While working on the js-text-analysis we decided that name wasn’t as catchy as we’d like it to be, so we renamed it to YoastSEO.js and changed the GitHub project accordingly, so it can now be found at .
Yoast SEO for Drupal
After months of work we decided to release
during DrupalCon in Barcelona. At a great launch party we showed the Drupal community what YoastSEO.js was capable of. For everyone who missed the party, we also wrote a
The Drupal community really adopted our module and we got a lot of very valuable feedback, an incentive to improve YoastSEO.js even further. This lead to a developer beta on October 8. Omar even wrote a thorough blog post about it on the .
New UI for Yoast SEO
Now all we had to do was finalize YoastSEO.js and integrate it in Yoast SEO. And so we did. We even managed to make awesome changes to the layout of the Yoast SEO metabox, making it far more user-friendly and intuitive. We decided that this new layout allowed for a great new feature for , analyzing up to 5 focus keywords per post!
Just two weeks ago, Omar wrote another piece on the . Internally this marked the start of a super-intensive testing period where 4 developers have been trying to break the new Yoast SEO in every possible way. And when our own pace of finding bugs and enhancements started to slow down, we released the Yoast SEO 3.0-RC on
and the , and it even made the
newsletter!
H Yoast SEO 3.0!
We’ve been testing Yoast SEO 3.0 until late last night before we decided, this is it. This is the version we’re comfortable releasing. We’ve tested more than ever before, we’ve announced changes months ahead, we’ve asked everyone to try the Release Candidate and got no negative responses.
The last months have been a rollercoaster, but we’re truly happy to present to you !
If you do find bugs, we’re sorry. Report them on , and we’ll get them fixed.
Thanks, we appreciate it!
Road to Yoast SEO 3.0
Taco Verdonschot is community manager at Yoast. He is leading the support team, managing
and tester for our software. You can regularly find him at WordCamps and meetups. His ultimate goal is to help others deliver high-quality software for everyone, in every language.
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