Format:
vii, 217 Blätter
,
Illustrationen, Diagramme
Content:
The immense popularity of online communication services in the last decade has not only upended our lives (with news spreading like wildfire on the Web, presidents announcing their decisions on Twitter, and the outcome of political elections being determined on Facebook) but also dramatically increased the amount of data exchanged on these platforms. Therefore, if we wish to understand the needs of modern society better and want to protect it from new threats, we urgently need more robust, higher-quality natural language processing (NLP) applications that can recognize such necessities and menaces automatically, by analyzing uncensored texts. Unfortunately, most NLP programs today have been created for standard language, as we know it from newspapers, or, in the best case, adapted to the specifics of English social media. This thesis reduces the existing deficit by entering the new frontier of German online communication and addressing one of its most prolific forms—users’ conversations on Twitter. In particular, it explores the ...
Note:
Dissertation Universität Potsdam 2019
Additional Edition:
Erscheint auch als Online-Ausgabe Sidarenka, Uladzimir Sentiment analysis of German Twitter Potsdam, 2019
Language:
English
Keywords:
Hochschulschrift
Author information:
Stede, Manfred 1965-
