| Title |
Lietuviško automatinio naujienų agregatoriaus prototipas / |
| Translation of Title |
A prototype of an automated Lithuanian news aggregator. |
| Authors |
Kebelytė, Ernesta |
| Full Text |
|
| Pages |
62 |
| Keywords [eng] |
news clustering ; news keywords ; stemming ; news stream |
| Abstract [eng] |
Everyday there is a huge amount of information being created, which would be impossible to cover without any software tools. As one of those tools helping to assemble and display this information there is RSS (Rich Site Summary) subscriptions. This technology is designed for fast and secure assembly and display of newest news entries from different news sources. The aim of the system - group Lithuanian news from different news sites, so that the users could effectively and faster find news unique to them. Work accent is automatic grouping news through machine learning algorithms. Information clustering and more importantly, links between different pieces of information extraction and delivery to the final consumer is a relevant and viable software product development direction. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2015 |
