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https://hdl.handle.net/10216/113985Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Bruno Pereira de Morais | |
| dc.date.accessioned | 2022-09-14T02:33:08Z | - |
| dc.date.available | 2022-09-14T02:33:08Z | - |
| dc.date.issued | 2018-07-17 | |
| dc.date.submitted | 2018-08-01 | |
| dc.identifier.other | sigarra:277482 | |
| dc.identifier.uri | https://hdl.handle.net/10216/113985 | - |
| dc.description | Enquadramento: Today's way to interact between a human and a computer system is changing. Computer systems are becoming more intelligent in the way they communicate with humans, with the latest developments in Natural Language Processing helping a lot the improvement of speech recognition and bot interaction. The days of having computer personal assistants has come, with Siri, Cortana and others. But the problem is that there are still areas more complex to be addressed, namely asking for data analysis to a personal assistant. One of the important components in an Analytics Chatbot or Assistant is the way it shows the answers, in particular, the analytical answers that are best shown in a visual way. Objetivos e Plano: The main goal of this internship is to develop an approach for the automation of answer visualisation of analytical questions made to a chatbot or virtual assistant. There is already a platform developed at Critical named ANSA, in which this internship is included, and the target language is the English language. This main goal can be subdivided in several tasks: - Defining the Answer Visualisation Possibilities - Graph Visualisation Library Study - Learning the ANSA Platform - Development of the Visualisation Solution based on Case-Based Reasoning - Testing and Benchmarking the Solution - Writing the internship proposal | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.subject | Engenharia electrotécnica, electrónica e informática | |
| dc.subject | Electrical engineering, Electronic engineering, Information engineering | |
| dc.title | Conversational AI: Automated Visualization of Complex Analytic Answers from Bots | |
| dc.type | Dissertação | |
| dc.contributor.uporto | Faculdade de Engenharia | |
| dc.identifier.tid | 202113159 | |
| dc.subject.fos | Ciências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática | |
| dc.subject.fos | Engineering and technology::Electrical engineering, Electronic engineering, Information engineering | |
| thesis.degree.discipline | Mestrado Integrado em Engenharia Electrotécnica e de Computadores | |
| thesis.degree.grantor | Faculdade de Engenharia | |
| thesis.degree.grantor | Universidade do Porto | |
| thesis.degree.level | 1 | |
| Appears in Collections: | FEUP - Dissertação | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 277482.pdf | Conversational AI: Automated Visualization of Complex Analytic Answers from Bots | 2.47 MB | Adobe PDF |  View/Open |
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