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[{"key": "dc.contributor.advisor", "value": "Kypp\u00f6, Jorma", "language": "", "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Heikkil\u00e4, Arttu", "language": "", "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2020-12-10T06:47:17Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2020-12-10T06:47:17Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2020", "language": "", "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/73084", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Chatbotit ovat yleistyv\u00e4 ratkaisu ihmisen ja tietokoneen v\u00e4liseen vuorovaikutukseen. Tarve rakentaa yll\u00e4pidett\u00e4vi\u00e4 ja skaalautuvia keskustelevia ratkaisuja on kasvava, mutta ymm\u00e4rrys perustavanlaatuisista teknologioista tarpeeseen on v\u00e4h\u00e4ist\u00e4. T\u00e4t\u00e4 n\u00e4k\u00f6kulmaa tukee v\u00e4h\u00e4inen kirjallisuus, yksinkertaistettujen alustaratkaisujen yleisyys, sek\u00e4 ala-arvioisten chatbottien yleisyys. T\u00e4m\u00e4 luo tarpeen ymm\u00e4rt\u00e4\u00e4 ja kouluttaa, kuinka botit ovat pohjimmiltaan rakennettu. T\u00e4m\u00e4 vie tarvittavan teorian l\u00e4hemm\u00e4ksi k\u00e4yt\u00e4nt\u00f6\u00e4, joka tukee botin kehitt\u00e4j\u00e4\u00e4 rakentamaan yll\u00e4pidett\u00e4v\u00e4\u00e4 ja skaalautuvaa arkkitehtuuria.\nT\u00e4m\u00e4 tutkielma tarkastelee niit\u00e4 perustavanlaatuisia teknologioita ja konsepteja, jotka saavat tietokoneen ymm\u00e4rt\u00e4m\u00e4\u00e4n ihmist\u00e4. Tapaustutkimusta hy\u00f6dynnet\u00e4\u00e4n ymm\u00e4rt\u00e4m\u00e4\u00e4n yksityiskohtaisesti, kuinka jokseenkin piilotetut tekstiprosessointitekniikat saavat chatbotin ymm\u00e4rt\u00e4m\u00e4\u00e4n puhetta. Tapaustutkimusta pohjustaa kirjallisuuskatsaus tekstiprosessoinnista ja niiden yhtymisest\u00e4 moderneihin chatbotteihin.\nYleisest\u00e4 n\u00e4kemyksest\u00e4 teko\u00e4lyyn poiketen, chatbotit eiv\u00e4t ole monimutkaisia j\u00e4rjestelmi\u00e4. Moderni chatbot k\u00e4ytt\u00e4\u00e4 monia eri tekstiprosessointi ja kone\u00e4lytekniikoita skaalautuvuuden ja suorituskyvyn saavuttamiseksi. N\u00e4m\u00e4 ovat kuitenkin suhteellisen yksinkertaisia, ja tekninen ammattilainen pystyy helposti tekem\u00e4\u00e4n korjauksia ja muokkauksia n\u00e4ihin. Chatbot prosessoi k\u00e4ytt\u00e4j\u00e4sy\u00f6tteen luonnollisen kielen prosessoinnin tekniikoilla, ja luokittelija luokittelee tuloksen ennalta m\u00e4\u00e4riteltyyn \u2019tarkoitukseen\u2019. Toinen luokittelija antaa jatkotoimenpiteet, oli se sitten vastaus tai jokin muu. T\u00e4m\u00e4nkaltaisin arkkitehtuurin ymm\u00e4rt\u00e4minen tukee bottikehitysty\u00f6t\u00e4, kun ongelmia tai tarpeita uusille ominaisuuksille ilmenee.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Chatbots are an extremely prominent way to interact with a software system. The need to build maintainable that scalable systems is more present than ever, while the understanding of needed technologies is generally lacking. This is demonstrated by disconnected literature, the popularity of oversimplified building tools, and generally sub-par conversational agents. This provides a need to understand, and educate, how chatbots are built. This narrows down the gap between theory and practice to an applicable format, where a software developer could have a better stance at building maintainable conversational systems.\nThis thesis studies the underlying techniques and technologies that go in-to chatbot development. A case study is presented with source code to explore, to understand the somewhat hidden structures that go into understanding the user input. A literature review precedes a detailed view of the technologies in a real-life example.\nContrary to popular perception, this type of artificial intelligence is not complicated. A modern chatbot uses multiple different components to achieve bot scalability and performance. However, a lot of these technologies are fairly easy to understand and debug to a professional in the technical field. A chatbot processes the input text through NLP-techniques and assigns it to a predefined intent through a classifier. Another classifier is then used to determine proper actions, be it a response or custom software. Understanding this type of pipe-line can prevent technical overhead when fixing issues built on a black box.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by Paivi Vuorio (paelvuor@jyu.fi) on 2020-12-10T06:47:16Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2020-12-10T06:47:17Z (GMT). No. of bitstreams: 0\n Previous issue date: 2020", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "72", "language": "", "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "conversational agent", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "natural language processing", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "natural language understanding", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "Rasa", "language": "", "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "Natural language processing In chatbot development : how does a chatbot process language?", "language": "", "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-202012107024", "language": "", "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Informaatioteknologia", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietoj\u00e4rjestelm\u00e4tiede", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Information Systems Science", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": "", "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "601", "language": "", "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "chattibotit", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "luonnollinen kieli", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "ohjelmistokehitys", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "l\u00e4hdekoodit", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "kieli ja kielet", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "chatbots", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "natural language", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "software development", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "source codes", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "languages", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "machine learning", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.type.okm", "value": "G2", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
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