| Title |
Dirbtinio intelekto taikymas sumaniam miestui / |
| Translation of Title |
Artificial intelligence for smart cities. |
| Authors |
Didžiapetris, Domantas |
| Full Text |
|
| Pages |
122 |
| Keywords [eng] |
artificial intelligence ; sentiment analysis ; urbanism ; architecture ; planning |
| Abstract [eng] |
Technologies are ever-changing and so are people. One glance at social media may provide more insight on actual situation than an in-depth questionnaire. Moreover, the opinions expressed on social media are far more expressive and impulsive, as we express joy or hate online the very moment we feel it. That is exactly the type of data which is needed for a proper research. One of the best places to gather such data is Twitter. This platform has a limited amount of characters for a message and it is easy to depersonalize the message. Omitting ordinary social surveys and only using data from social media to find out which Community District in Manhattan has the lowest emotional state of the residents and then pinpointing the most problematic area in that very district and providing proposals for the renewal of the area was the main aim of the research. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2019 |
