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Chatbot Based on Artificial Neural Networks
Červíček, Petr ; Novotný, Ondřej (referee) ; Szőke, Igor (advisor)
The thesis pursues the implementation of the chatbot based on neural networks. It uses Long short term memory networks, which remember long-term dependencies. Chatbot was implemented in Python with superstructure Keras and is based on sequence-to-sequence. Chatbot was also tested by BLEU and given to users, who chatted with the chatbot. For a better understanding of the given problematics, there is simple description of the chatbot history and used technologies.
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Chatbot Based on Artificial Neural Networks
Čechák, Jiří ; Beneš, Karel (referee) ; Szőke, Igor (advisor)
The thesis describes an implementation and the way generative chatbot operates. The chatbot was implemented in Python using artificial neural networks and is based on a sequence-to-sequence principle. The final chatbot contains three models, which can be trained and used for conversations in a created GUI. After training of all three models, the chatbot was then tested by using BLEU metric. It was also tested by some users who compared the quality of its generated answers with the quality of answers created by already an existing chatbot Cleverbot. For a better understanding of the given problematics, there is a simple description of the basic terms, such as artificial intelligence, artificial neural networks, the difference between closed and open domain, word embedding and a basic description of the chatbots and their types, including their advantages, disadvantages and usage.
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Chatbot Capable of Information Search
Ďurista, Michal ; Beneš, Karel (referee) ; Černocký, Jan (advisor)
Pojem ''chatbot'' je v dnešnej dobe umelej inteligencie veľmi populárny výraz. Chatbotov vidno stále viac a viac v biznis riešeniach dnešných firiem. Hlavným cieľom práce je vytvoriť algoritmus, ktorý je schopný vyťahovať informácie a implementovať ho do chatbota. Tieto informácie možno nájsť na webových stránkach reálneho zákazníka. Práca rovnako poskytuje prehľad súčasnej situácie chatbotov ako aj Microsoft technológií pre ich vývoj. Technické detaily na ktorých tieto technológie pracujú, predovšetkým spracovanie prirodzeného jazyka, sú taktiež zahrnuté. Práca popisuje implementáciu algoritmu ako aj chatbota samotného spolu s procesom testovania v skutočnom priemyselnom prostredí.
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Chatbot Based on Artificial Neural Networks
Richtarik, Lukáš ; Beneš, Karel (referee) ; Szőke, Igor (advisor)
This work deals with the issue of chatbots, which are based on artificial neural networks and generative models. It also describes options and process of designing the chatbot as well as an implementation and testing using BLEU metrics. The work contains multiple experiments with different models of chatbots, their performance evaluation and comparison, user experience and several suggestions for future enhancements.
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Pragmatic aspects of communication with chatbots
Kopecký, Michal ; Krhutová, Milena (referee) ; Haupt, Jaromír (advisor)
Chatboti, programy schopné komunikovat s člověkem, jsou v posledních letech více a více oblíbení. Ale protože je umělá inteligence velmi složitá vědecká disciplína, je obtížné vybudovat robota, který by se v komunikaci podobal člověku. Tato práce poskytne stručný úvod do teorie chatbotů, kde a jak jsou využíváni, a technologie Zpracování přirozeného jazyka. Krátce bude popsáno několik chatbotů, společně s příkladovými konverzacemi. Hlavní důraz bude kladen na pragmatickou stránku konverzace s chatboty, zejména na dodržování konverzačních maxim a kooperačního a zdvořilostního principu. Získané poznatky budou názorně předvedeny na analýzách dialogů s chatbotem ve druhé části práce.
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Chatbot for Learning English
Meluš, Matej ; Otrusina, Lubomír (referee) ; Smrž, Pavel (advisor)
Goal of this thesis was to create conversational system whose purpose will be improving users foreign language level. System is composed of four main subsystems, where each one has standalone funcionality. Retrieving data used for training purposes, conversation, grammar correction of users inputs and exerises. Created system was tested by 26 users who scored system from possitive to neutral. 80.8% users considered created system to be usable in process of learning English.
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Mobile Application for Searching for Interesting Events and Destinations in Brno
Misař, Ondřej ; Hrubý, Martin (referee) ; Dyk, Tomáš (advisor)
The aim of this bachelor thesis is to create a mobile application that allows user to use a chatbot to search for interesting places and events in Brno. The application is developed on Android operating system using Kotlin language. It offers the user the possibility of communicating with the chatbot using hint buttons. It is implemented using the Rasa framework. The application offers the possibility to browse all events or places and view their detailed information. The user also has the possibility to view all items on the map. The data is stored on the server in a database where it is managed by the backend. It takes care of storing, processing and filtering the data. It is placed on the server together with the chatbot.
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Chatbot in an Enterprise Information System
Novák, Miroslav ; Rychlý, Marek (referee) ; Kreslíková, Jitka (advisor)
This diploma thesis deals with problems of development of chatbots. The theoretical part of the thesis introduces the concept of the conversational interface in general and analyzes available technologies for its development. The practical part deals with the design and implementation of a particular chatbot, whose goal is to be a virtual assistant in the process of selecting and purchasing goods. This is accomplished by connecting the chatbot to the product information management system using OData web services. One of the biggest problems was to determine the order of questions asked about product properties. For the implementation was used decision tree theory.
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Chatbot for Smart Cities
Jusko, Ján ; Herout, Adam (referee) ; Zemčík, Pavel (advisor)
The aim of this work is to simplify access to information for citizens of the city of Brno and at the same time to innovate the way of communication between the citizen and his city. The problem is solved by creating a conversational agent - chatbot Kroko. Using artificial intelligence and a Czech language analyzer, the agent is able to understand and respond to a certain set of textual, natural language queries. The agent is available on the Messenger platform and has a knowledge base that includes data provided by the city council. After conducting an extensive user testing on a total of 76 citizens of the city, it turned out that up to 97\% of respondents like the idea of a city-oriented chatbot and can imagine using it regularly. The main finding of this work is that the general public can easily adopt and effectively use a chatbot. The results of this work motivate further development of practical applications of conversational agents.
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