Big Data. Refining Information 2700-ERASMUS-BDRI
1. Forms of creating, recording, processing information in digital form (multimedia).
2. The current conditions, tools and methodology of IT use in processing multimedia.
3. Assessment of readability of texts.
4. Potential of Information of the indexed Net, Deep Web and Dark Web.
5. Search engines bias: the results of global research. Manipulation of information in the Network. Personalize of the Net Information
6. Big Data - The value of the hidden information.
7. Refining of information. The new source of information for science (business, politics, media and others fields).
8. Robots. Collecting text and no-text (audio, pictures of text,) information from the Web.
9. Identification of personalized and current sentiments for sentiment analyze. Live time of the sentiments.
10. Models of predictions.
11. The Cases. Methodology, results.
12. Workshops. Development and monitoring of practical projects for students. The idea of the projects: to familiarize students with the information richness of Big Data and proper identification of sentiments to sentiment analyze .
Kierunek podstawowy MISMaP
Rodzaj przedmiotu
fakultatywne
Tryb prowadzenia
Założenia (opisowo)
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