Isu tinopedza nguva yakawanda tichikurukura nevanhu online kuburikidza chat, email, mawebhusaiti, uye social media.
Iwo makuru mavhoriyamu e data data atinoburitsa sekondi yega yega anotitiza isu, asi, kwete nguva dzose.
Zviito zvevatengi uye wongororo zvinopa masangano ruzivo rwakakosha nezve izvo vatengi vanokoshesa uye vasingatenderwe nazvo muzvigadzirwa nemasevhisi, pamwe nezvavanoda kubva kumhando.
Mazhinji emabhizinesi, zvisinei, achiri kunetsekana kuona nzira inoshanda kwazvo yekuongorora data.
Sezvo yakawanda yedata isina kurongeka, makomputa ane nguva yakaoma kuinzwisisa, uye kuronga nemaoko zvingave zvakanyanya kutora nguva.
Kugadzira data rakawanda nemaoko kunove kunetsa, kusinga gadzirise, uye kusingaverengeki sezvo kambani inowedzera.
Nechinofadza, Natural Mutauro Kugadziriswa kunogona kukubatsira mukutsvaga ruzivo rwehungwaru mune zvisina kurongeka zvinyorwa uye kugadzirisa nyaya dzakasiyana dzekuongorora zvinyorwa, kusanganisira. manzwiro ongororo, kupatsanura zvidzidzo, nezvimwe.
Kuita kuti mutauro wevanhu unzwisiswe kumichina ndicho chinangwa cheiyo artificial intelligence field ye Natural language processing (NLP), iyo inoshandisa mitauro nesainzi yekombuta.
NLP inogonesa makomputa kuti aongorore otomatiki huwandu hukuru hwe data, zvichiita kuti iwe ugone kuona ruzivo rwakakodzera nekukurumidza.
Mavara asina kurongeka (kana mamwe marudzi emutauro wechisikigo) anogona kushandiswa neakasiyana matekinoroji kuburitsa ruzivo rwakajeka uye kugadzirisa akati wandei matambudziko.
Kunyangwe hazvo zvisina kukwana, iyo rondedzero yeakavhurika-sosi maturusi anoratidzwa pazasi inzvimbo yakanaka yekutanga kune chero ani kana chero sangano rinofarira kushandisa mitauro yechisikigo mumapurojekiti avo.
1. NLTK
Mumwe anogona kupokana kuti Natural Language Toolkit (NLTK) ndiyo inonyanya kupfuma-chinhu chandakatarisa.
Anenge ese eNLP matekiniki anoitwa, anosanganisira kupatsanura, tokenization, stemming, tagging, parsing, uye semantic kufunga.
Iwe unogona kusarudza iyo chaiyo algorithm kana nzira yaunoda kushandisa nekuti kazhinji kune akati wandei maitirwo anowanikwa kune yega yega.
Mitauro yakawanda inotsigirwa zvakare. Kunyangwe zvakanakira zvimiro zviri nyore, chokwadi chekuti inomiririra data rese setambo inoita kuti zviome kushandisa mamwe masikirwo ehunyanzvi.
Kana ichienzaniswa nemamwe maturusi, raibhurari zvakare ine husimbe hushoma.
Zvese zvinhu zvinotariswa, ichi chishandiso chakanakisa chekuyedza, kuongorora, uye mashandisirwo anoda imwe musanganiswa wealgorithms.
zvayakanakira
- Ndiyo raibhurari yeNLP inonyanya kufarirwa uye yakazara ine akati wandei echitatu ekuwedzera.
- Mukuenzanisa nemamwe maraibhurari, inotsigira mitauro yakawanda.
nezvayakaipira
- zvakaoma kunzwisisa uye kushandisa
- Inononoka
- hapana mhando dze neural networks
- Inongopatsanura chinyorwa kuita mitsara pasina kutarisa semantics
2. Spacy
SpaCy ndiyo NLTK inonyanya kukwikwidza. Kunyangwe ichingove nekuitwa kumwe chete kwechikamu cheNLP, inowanzo kurumidza.
Pamusoro pezvo, zvese zvinomiririrwa sechinhu kwete tambo, iyo inorerutsa iyo interface yekugadzira mapurogiramu.
Kuve nekunzwisisa kwakadzama kwedata rako remavara kunoita kuti iwe ugone kuita zvakawanda.
Izvi zvakare zvinoita kuti zvive nyore kuti ibatane nemamwe akati wandei masystem uye data sainzi maturusi. Asi zvichienzaniswa neNLTK, SpaCy haitsigire mitauro yakawanda.
Iyo inoratidzira akawanda neural modhi yeakasiyana maficha ekugadzirisa mitauro uye kuongororwa, pamwe neyakajeka mushandisi interface ine yakapfupikiswa huwandu hwesarudzo uye zvinyorwa zvakanakisa.
Mukuwedzera, SpaCy yakavakwa kuti igare yakawanda yedata uye yakanyatso kunyorwa.
Inosanganisirawo huwandu hwemhando dzekugadzirisa mutauro wechisikigo dzakatodzidziswa, zvichiita kuti zvive nyore kudzidza, kudzidzisa, uye kushandisa mutauro wechisikigo kugadzirisa neSpaCy.
Pakazere, ichi chishandiso chakanakisa chezvishandiso zvitsva izvo zvisingade imwe nzira uye zvinoda kuitwa mukugadzira.
zvayakanakira
- Zvichienzaniswa nezvimwe zvinhu, inokurumidza.
- Kudzidzira nekuishandisa kuri nyore.
- mhando dzinodzidziswa uchishandisa neural network
nezvayakaipira
- kushomeka kuchinjika mukuenzanisa neNLTK
3. Gensim
Nzira dzinoshanda uye dziri nyore dzekutaura magwaro semantic vectors dzinowanikwa nekushandisa yakavhurika-sosi Python chimiro inozivikanwa seGensim.
Gensim yakagadzirwa nevanyori kubata mbishi, isina kurongeka mavara akajeka vachishandisa huwandu hwe machine learning nzira; saka, ipfungwa yakangwara kushandisa Gensim kubata mabasa seTopic Modelling.
Pamusoro pezvo, Gensim inonyatsowana kufanana kwemavara, indexes zvirimo, uye kufamba pakati pezvinyorwa zvakasiyana.
Icho chinhu chakanyanya hunyanzvi Python library kutarisa pamisoro yekuenzanisira mabasa uchishandisa Latent Dirichlet Allocation uye dzimwe LDA) nzira.
Pamusoro pezvo, zvakanakisa pakutsvaga zvinyorwa zvakafanana kune mumwe nemumwe, kuisa indexing zvinyorwa, uye kutenderera pamapepa.
Ichi chishandiso chinobata huwandu hukuru hwe data zvinobudirira uye nekukurumidza. Heano mamwe ekutanga Tutorials.
zvayakanakira
- nyore mushandisi interface
- kushandiswa kwakanaka kwealgorithms inozivikanwa
- Paboka remakomputa, inogona kuita latent Dirichlet allocation uye latent semantic ongororo.
nezvayakaipira
- Inonyanya kuitirwa kutevedzera mavara asina mutariri.
- Iyo inoshaya pombi yeNLP yakakwana uye inofanirwa kushandiswa pamwe chete nemamwe maraibhurari seSpacy kana NLTK.
4. TextBlob
TextBlob imhando yeNLTK yekuwedzera.
Kuburikidza neTextBlob, unogona kuwana akawanda eNLTK mabasa zviri nyore, uye TextBlob inosanganisirawo Pateni raibhurari kugona.
Ichi chinogona kunge chiri chishandiso chinobatsira chekushandisa uchidzidza kana uchangotanga, uye chinogona kushandiswa mukugadzira maapplication asingade kuita kwakawanda.
Iyo inopa yakawedzera mushandisi-inoshamwaridzika uye yakatwasuka interface yekuita zvakafanana NLP mabasa.
Iyo isarudzo huru yevatsva vanoshuvira kutora paNLP mabasa senge ongororo yemanzwiro, kupatsanura zvinyorwa, uye chikamu-che-yekutaura tagging nekuti yekudzidza curve ishoma pane nezvimwe zvakavhurika-sosi maturusi.
TextBlob inoshandiswa zvakanyanya uye yakanakira mapurojekiti madiki zvachose.
zvayakanakira
- Mushandisi weraibhurari ari nyore uye akajeka.
- Inopa ruzivo rwemutauro uye masevhisi ekushandura uchishandisa Google Translate.
nezvayakaipira
- Mukuenzanisa nevamwe, inononoka.
- Hapana mhando dzeneural network
- Hapana mazwi mavector akabatanidzwa
5. VhuraNLP
Zviri nyore kubatanidza OpenNLP nemamwe mapurojekiti eApache seApache Flink, Apache NiFi, uye Apache Spark nekuti inotambirwa neApache Foundation.
Iyo yakazara NLP chishandiso chinogona kushandiswa kubva kumutsara wekuraira kana seraibhurari mune application.
Inosanganisira ese eNLP akajairwa kugadzirisa zvikamu.
Pamusoro pezvo, inopa rutsigiro rwakakura rwemutauro. Kana iwe uri kushandisa Java, OpenNLP chishandiso chakasimba chine toni yekugona iyo inogadzirirwa basa rekugadzira.
Pamusoro pekugonesa akanyanya kujairika mabasa eNLP, senge tokenization, mutsara segmentation, uye chikamu-che-yekutaura tagging, OpenNLP inogona kushandiswa kugadzira yakanyanya kuoma mameseji kugadzirisa mameseji.
Maximum entropy uye perceptron-yakavakirwa muchina kudzidza inosanganisirwawo.
zvayakanakira
- Chishandiso chekudzidzisa chemuenzaniso chine akati wandei
- Inotarisa pamabasa eNLP akakosha uye anokunda paari, kusanganisira kuzivikanwa kwesangano, kutariswa kwemutsara, uye tokenization.
nezvayakaipira
- kushaya kugona kwakadzama; kana iwe uchida kuenderera mberi neJVM, kuenda kuCoreNLP ndiyo inotevera nhanho yechisikigo.
6. AllenNLP
AllenNLP yakanakira kushandiswa kwekutengesa uye kuongororwa kwedata sezvo yakavakirwa paPyTorch maturusi nezviwanikwa.
Inokura kuita chishandiso chinosanganisa zvese chekuongorora zvinyorwa.
Izvi zvinoita kuti ive imwe yemanyorerwo akanyanya kuomarara emutauro wechisikigo maturusi ekugadzirisa. Ndichiri kuita mamwe mabasa akazvimirira, AllenNLP inofanogadzirisa data uchishandisa iyo yemahara SpaCy yakavhurika-sosi package.
AllenNLP's kiyi yekutengesa poindi ndeyekuti zviri nyore sei kushandisa.
AllenNLP inokwenenzvera magadzirirwo emutauro wechisikigo, kusiyana nemamwe mapurogiramu eNLP anosanganisira akati wandei mamodule.
Nekuda kweizvozvo, zvinobuda zvinobuda hazvimbonzwa kuvhiringa. Icho chishandiso chakanakisa kune avo vasina ruzivo rwakawanda.
zvayakanakira
- Yakagadzirwa pamusoro pePyTorch
- yakanakisa pakuongorora uye kuyedza uchishandisa inocheka-kumucheto modhi
- Inogona kushandiswa zvese zvekutengesa uye zvedzidzo
nezvayakaipira
- Hazvina kukodzera kumapurojekiti makuru ari mukugadzirwa parizvino.
mhedziso
Makambani ari kushandisa nzira dzeNLP kuburitsa nzwisiso kubva kune isina kurongeka mameseji data senge maemail, online wongororo, evanhu vezvenhau kutumira, nezvimwe. Vhura-sosi maturusi haadhure, anochinjika, uye anopa vanogadzira zvizere sarudzo dzekugadzirisa.
Wakamirira chii? Vashandise ipapo ipapo uye gadzira chimwe chinhu chinoshamisa.
Happy Coding!
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