Zviri Mukati[Viga][Ratidza]
Kambani yako inokwanisa kuwana akati wandei data masosi ane mapindiro kubva kune vatengi, vatengi, vashandi, vatengesi, nevamwe. Iyi data isina kurongeka inobata kiyi yekusvika pazvinangwa zvevatengi vako, asi kunyatsoiongorora kunoda mhinduro dzehunyanzvi.
Text analytics tekinoroji inopa otomatiki tekinoroji yekuongorora uye kuratidza isina kurongeka mameseji data yematanho emhando. Funga kugamuchira ruzivo rwekuita kubva kune wese evanhu vezvenhau positi, email, meseji yekutaura, tikiti rekuburitsa, uye ongororo.
Text analytics inogonesa kambani yako kuwana zvakawanda nezve izvo vatengi vari kutaura, kufunga, uye kunzwa sezvavanodyidzana nezvinhu zvako nemasevhisi.
Mune ino post, isu tichanyatso tarisa pane zvinyorwa zvinyorwa, kuti zvinoshanda sei, mutsauko pakati pezvinyorwa analytics uye zvinyorwa zvemigodhi, pamwe nemabhenefiti ayo, mashandisiro ekushandisa, matambudziko, nezvimwe zvakawanda.
Saka, chii chinonzi text analytics?
Mavara analytics inzira yekuwana zvinoreva kubva kune isina kurongeka data, senge kunyorwa kutaurirana uye zvinyorwa, kuitira kuyera zvinhu zvakaita semhinduro yemushandisi, maonero evatengi, zviyero zvechigadzirwa, uye mamwe metrics.
Iyo nzira yekushandura yakawanda isina kurongeka data kuita chimwe chinhu chinogona kudzidzwa, nemamwe mazwi.
Paunenge uchiongorora zvinyorwa, maTweets, ma social media posts, wongororo, makomendi, uye mamwe marudzi ekunyora, mafemu mazhinji anoshandisa manyore analytics kushandisa michina yekudzidza matekiniki uye algorithms kuburitsa zvinoreva uye kuunganidza ruzivo.
Mhando dzeManyorero Analytics
Haasi ese mavara analytics akagadzirwa akaenzana. Mavara analytics, senge yakafara nzvimbo yebhizinesi analytics, inogona kukamurwa munzvimbo dzinoverengeka zvichienderana nebasa uye mhedzisiro. Mavara ekuongorora maitiro anowanzo kupatsanurwa mumapoka matatu:
Inotsanangurwa Analytics
Mavara ekuongorora maitiro munzvimbo ino ari pakati pekutaura. Dhata inotorwa kubva kune isina kurongeka zvinyorwa, yakapihwa inonzwisisika fomu, uye inoongororwa mafambiro. Misoro uye madingindira ekutanga anogona kubatanidzwa pamwe chete kuti ape maonero akajeka ezvese mushandisi mamiriro, maitiro ekutenga, uye zvimwe nekufamba kwenguva.
Kufanotaura Ongororo
Kufanotaura analytics inotarisa pakufungidzira zvichaitika mune ramangwana. Zvinhu zvisina kurongeka zvinotorwa uye kuongororwa mukufembera zvinyorwa zvinyorwa zvine mhedzisiro iyi mupfungwa.
Iyi fomu yeanalytics inobatsira mafemu mukugadzira fungidziro dzakaringana dzekutonga kwezvinhu, maitiro ekutenga, uye kunyangwe kudzivirira njodzi.
Kushandisa matikiti ekutsigira evatengi akavhurika kuona huwandu hwakakwana hwevashandi kuchengetedza pa-kufona kwerumwe rudzi rwerubatsiro muenzaniso wekufembera analytics 'kushanda munzvimbo yekusangana.
Zvinyorwa Zvinyorwa
Mavara analytics anogona zvakare kuve anoraira nekubatsira mukugadzira chirongwa chekuchengetedza zvimwe zvichaitika mune ramangwana. Iyi nzira yeanalytics inoshandisa kufungidzira analytics kuti izivise zvirinani kuongororwa.
Nekuda kwekubatsira kwerudzi urwu rweanalytics, angave mameseji kana neimwe nzira, inowanzofarirwa pakati pevakuru vekambani vachiedza kusimudzira chikamu chemusika wavo.
Mavara analytics Vs Mavara emigodhi
Kuti unyatso nzwisisa zvinyorwa zvekuongorora, iwe unofanirwa zvakare kujairana nemigodhi yemavara uye kugadzirwa kwemutauro wechisikigo. Kucherwa kwemavara kunobvisa ruzivo kubva muhuwandu hwakawanda hwe data isina kurongeka.
Pasina hunyanzvi uhu, waizofanirwa kutarisa nemaoko zvinyorwa zvemukati woona kana zviri zvemhando yepamusoro. Kana iyi data yaburitswa mu data yakarongeka, inogona kuongororwa kuti ibudise ruzivo rwakakosha.
Mavara analytics anogona kuburitsa mishumo, kuratidza mafambiro anonakidza, uye kupa makambani maturusi matsva ekuita sarudzo dzinofambiswa nedata.
Nzira dzekugadzirisa mutauro wechisikigo dzinoshandiswa zvakanyanya mukuchera zvinyorwa uye zvinyorwa zvinyorwa. Imhando ye chakagadzirwa njere inokwanisa kushandura mutauro wevanhu kuita chimiro chinoverengwa nekombuta.
Mushandisi wekupedzisira haafanirwe kuziva mamwe mazwi akakosha kana syntax kuitira kuti komputa kune rimwe divi kududzira chikumbiro chavo. Pane kudaro, kugadzirisa mutauro wechisikigo kunotora.
Iyi tekinoroji inoshandisa modhi kudzidza kubva kune iyo data inopihwa kwairi. Kurongeka uye kukosha kweruzivo rwayo kunokura nekufamba kwenguva, inova chimiro che machine learning Process.
Kuongorora kwemavara kunoshanda sei?
Nzira yekuongorora zvinyorwa inotanga nekuunganidzwa kwehuwandu hwakawanda hwe data yezvinyorwa. Zvichienderana nehupamhi hwepurojekiti yako uye zviwanikwa zviripo, unogona kutora kubva pasocial media makomendi, zvemukati webhusaiti, mabhuku, yakarongwa ongororo, mhinduro, kana marekodhi efoni.
Iwe unogona kushanda nemuunganidzwa mumwe chete wedata kana kuongorora akawanda akaunganidzwa zviwanikwa. Iyo text analytics system inogonawo kusanganisira zvinyorwa zvekuchera maturusi izvo zvinobvumira kuti itange kuronga iyi data.
Mune mamwe mamiriro ezvinhu, unogona kusanganisa nzira mbiri kana kupfuura kuti uwane yakatorwa data seti inodiwa kuti uwane ruzivo rwakakodzera. Kupwanya mutsara, kuisa chiratidzo, uye kugadzirisa mutauro yese mienzaniso yezvinoitika panguva ino yekuita.
Iyo software yemutauro wechisikigo kugadzirisa kugona inogona kushandura iyo data nenzira dzakasiyana-siyana, senge kunyora, kuisa mumapoka, uye kuisa mumapoka. Iyo inotevera nhanho yechinyorwa chekuongorora chishandiso inogona kutorwa kana iyo yakakosha, yakaderera-chikamu kugadzirisa kwapera.
Iyi nzira inowanzoshandiswa kuita manzwiro ongororo pane batch yedata. Iyi puratifomu inogona kuona mwero wekugutsikana kwemutengi, nyaya dzavanofarira, uye mhinduro yakakosha pane ruzivo rwevatengi. Kuti ive nechokwadi chekuti meseji yechokwadi iri mukati mezvinyorwa, inoongorora girama uye mamiriro akapoteredza.
Bhizinesi rako rinogona kushandisa mameseji analytics kuchera mahombe data seti ayo asingakwanise kuongorora nemaoko kune anobatsira data rekutsvagisa.
Ruzivo urwu runogona kushandiswa kutungamira kugadzirwa kwechigadzirwa, kugoverwa kwebhajeti, maitiro ebasa revatengi, matanho ekushambadzira, uye akati wandei mamwe mabasa.
Iwe unongofanirwa kubatikana pakutanga kuvandudza mamodheru ekufunda uye nekupa iyo sisitimu nedata masosi, uye pakupedzisira tsanangura mabatiro ezvinyorwa analytics kubata iyo data nekuti ruzhinji rweiyi maitiro anongozviitira.
Maitiro ekuongorora zvinyorwa
Kuronga Mazwi
Muunganidzwa wemashoko kazhinji kazhinji unogona kupa nzwisiso yakawanda kupfuura mutsara mumwe chete. Semuenzaniso, kana ukaisa pamwe chete mazwi ekuti "mari," "inodhura," uye "mwedzi wega wega," unogona kufunga zvine musoro kuti vatengi vazhinji vanotenda kuti mari dzepamwedzi dzechimwe chezvigadzirwa kana masevhisi ako dzinodhura zvakanyanya. Nekudaro, iwe unogona kugara uchiona iwo ega zvakataurwa kuti utarise zvakanyanya.
Shoko Frequency
Uku ndiko ongororo yezvinyorwa payakanyanya kukosha, uko zvidzidzo (semuenzaniso, mitengo, sevhisi, account, nezvimwewo) zvinoverengerwa uye zvakaiswa zviye zvichienderana nefrequency yavanonongedza. Izvi zvinobatsira nekukasira kutsvaga madingindira uye matambudziko anobuda pakati pevashanyi vako.
Kuongorora kwepfungwa
Sentiment analytics inzira inoshandiswa muNatural Language Processing (NLP) inoita kuti vashandisi vaongorore kukomba kwemhinduro zvichienderana nekushandiswa kwemazwi akanaka, asina kunaka, uye asina kwaakarerekera pamwe chete nemanzwiro akabatana nemitsara inowanzoshandiswa.
Iwe zvino wave kunzwisisa kuwanda uye kuunganidzwa kwemamwe mitsara nekuda kwemaitiro apfuura, asi iyi mhinduro yakanaka here, haina kunaka, kana kwayakarerekera?
Kuwana nzwisiso yemanzwiro hakufanire kuve dambudziko kana uine chiridzwa chakakodzera munzvimbo sezvo, nerombo rakanaka kwauri, vatengi vako vanofarira kugovera maonero avo pazvinhu zvavanofarira zvakanyanya.
Kurongeka kwemavara
Ndiyo inonyanya kubatsira NLP (Natural Mutauro Processing) tekinoroji sezvo iri mutauro-yakazvimirira. Inogona kuronga, kuronga, uye chikamu chingangoita chero data. Kupatsanurwa kwemavara kunobvumira dhata isina kurongeka kuti igovane tag dzakafanorongwa kana zvikamu.
Kukamurwa kwemavara kunosanganisira kuongororwa kwemanzwiro, kuenzanisira musoro, mutauro, uye kuzivikanwa kwechinangwa.
Topic Modelling
Topic modelling inobatsira mukugovanisa zvinhu zvichibva pane mamwe madingindira. Topic modelling haina kuita zvemunhu uye inobatsira kugaya zvinyorwa zvakasiyana uye pfungwa dzinongoitika zvekare. Zvidzidzo zvekuenzanisira zvikamu uye inopa chikamu kana kuverenga kwemazwi muchinyorwa chega chega kune imwe musoro.
Inotumidzwa Bhizinesi Kuzivikanwa
Inotumidzwa Bhizinesi Kuzivikanwa inobatsira mukuzivikanwa kwemazita mumaseti edata. Funga nhamba dzakatangirwa ne'INR' semari; zvakafanana, "Ms." kana kuti “Mr.” kana kuti “Mai.” rinoteverwa nerimwe kana mamwe mazwi makuru ringangodaro zita remunhu.
Nyaya huru ndeyekuti, nepo mamwe mazita achitsanangura zvikamu zvakakosha senge nzvimbo, zita, kana kukosha kwemari, mamwe haadaro, izvo zvinokonzeresa nyonganiso.
Benefits
- Batsira masangano mukunzwisisa mafambiro evatengi, kuita kwechigadzirwa, uye mhando yebasa. Izvi zvinotungamira kukurumidza kuita sarudzo, kuvandudza ruzivo rwebhizinesi, kugadzirwa kwepamusoro, uye kuchengetedza mutengo.
- Inobatsira hurumende nemasangano ezvematongerwo enyika kuita sarudzo nekuziva mafambiro nemaitiro munzanga.
- Inobvumira vadzidzi kuti vakurumidze kusefa mukati mehuwandu hwakawanda hwezvinhu zvakagara zviripo, vachitora izvo zvinoenderana nekudzidza kwavo. Izvi zvinokurumidzisa kufambira mberi kwesayenzi.
- Nekuisa ruzivo rwakafanana, unogona kuvandudza masisitimu ekurudziro evashandisi.
- Mavara ekuongorora maitiro anobatsira mukuvandudzwa kweinjini dzekutsvaga uye masisitimu ekudzoreredza ruzivo, zvichikonzera kukurumidza ruzivo rwemushandisi.
Shandisa maitiro
Social Media Analysis
Kunze kwekuve nzira yekuramba yakabatana, social media zvakare yakashanduka kuita chikuva chekushambadzira uye kushambadzira. Vatengi vanotaura nezvemakambani avanofarira uye vanogovana zvavanosangana nazvo pasocial media.
Kushandisa zvinyorwa zvekuongorora maturusi kuita ongororo yemanzwiro pasocial media data kunobatsira kuona manzwiro akanaka uye asina kunaka evashandisi kune zvigadzirwa / masevhisi, pamwe nepesvedzero uye hukama hwemakambani nevatengi vavo.
Uyezve, kuongororwa kwesocial media kunogona kubatsira makambani kugadzira kuvimba nevatengi vavo.
Kutengesa & Kushambadzira
Prospecting idambudziko rakaipisisa remutengesi. Zvikwata zvekutengesa zvinoedza zvese kuwedzera kutengesa uye kuita. Maturusi ekuongorora maturusi otomatiki iri basa remanyorero uku achipa akakosha uye akakodzera ruzivo rwekusimudzira kushambadzira.
Chatbots anoshandiswa kupindura kumibvunzo yevatengi munguva chaiyo. Kuongorora iyi data kunobatsira vashandi vekutengesa kufanotaura mukana wekutenga mutengi chigadzirwa, kuita chinangwa chekushambadzira uye kushambadzira, uye kugadzirisa chigadzirwa.
Bhizinesi Njere
Mabhizinesi anogona kushandisa ongororo yedata kuona "chii chiri kuitika?" asi kunetseka kuziva kuti "sei izvi zvichiitika?"
Text analytics application inobatsira masangano kutora mamiriro kubva kunhamba data uye kufunga kuti sei mamiriro ezvinhu akaitika, ari kuitika kana kuti anogona kuitika mune ramangwana..
Semuenzaniso, zvinhu zvakasiyana-siyana zvinopesvedzera kuita kwekutengesa. Nepo ongororo yedata ichipa manhamba, maitiro ekuongorora zvinyorwa anogona kubatsira kuona kuti nei paine kudzikisira kana spike mukuita.
mhedziso
Mavara analytics anogonesa mabhizinesi kuona ruzivo runobatsira kubva kwakasiyana siyana kwedata masosi, kubva pazvikumbiro zvebasa revatengi kusvika kukudyidzana kwesocial media.
Mavara analytics anogona kuwana mapatani, mafambiro, uye anobatika maitiro nekubatanidza mhedzisiro yekuongorora zvinyorwa uye kushandisa bhizinesi rehungwaru maturusi kushandura manhamba kuita zviri nyore kunzwisisa mishumo uye kuona.
Mushure mekuongorora zvakataurwa nevatengi kana kuongorora zvirimo zvemutengi zvikumbiro zvine maturusi ekuongorora mameseji, unogona kushandisa mavara analytics kukubatsira kufumura mikana yekuvandudza uye kugadzirisa chigadzirwa chako kana sevhisi kune zvinodiwa uye zvinotarisirwa nemutengi wako.
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