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Autor:
Habernal, Ivan; Daxenberger, Johannes; Gurevych, Iryna:

Titel:
Mass collaboration on the web
Textual content analysis by means of natural language processing

Quelle:
In: Cress, Ulrike;Moskaliuk, Johannes;Jeong, Heisawn (Hrsg.): Mass collaboration and education Cham : Springer (2016) , 367-390

Sprache:
Englisch

Dokumenttyp:
4. Beiträge in Sammelwerken; Sammelband (keine besondere Kategorie)

Schlagwörter:
Argumentation, Computerlinguistik, Data Mining, Daten, Inhaltsanalyse, Text, Web log, Wiki, Wissen


Abstract(original):
This chapter describes perspectives for utilizing natural language processing (NLP) to analyze artifacts arising from mass collaboration on the web. In recent years, the amount of user-generated content on the web has grown drastically. This content is typically noisy and un- or at best semi-structured, so that traditional analysis tools cannot properly handle it. To discover linguistic structures in this data, manual analysis is not feasible due to the large quantities of data. In this chapter, we explain and analyze web-based resources of mass collaboration, namely, wikis, web forums, debate platforms, and blog comments. We introduce recent advances and ongoing efforts to analyze textual content in two of these resources with the help of NLP. This includes an approach to discover flows of knowledge in online mass collaboration as well as methods to mine argumentative structures in natural language text. Finally, we outline application scenarios of the previously discussed techniques and resources within the domain of education. (DIPF/Orig.)


DIPF-Abteilung:
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last modified Nov 11, 2016