Understanding, as opposed to reading is vital for the extraction of opinions out of a text. This is especially true, as an author's opinion is not always clearly marked. Finding the overall opinion in a text can be challenging to both human readers and computers alike. Media Content Analysis is a popular method of extracting information out of a text, by means of human coders. We describe the difficulties humans have and the process they use to extract opinions and offer a formalization that could help to automate opinion extraction within the Media Content Analysis framework.
|Titel||Proceedings of TextGraphs-5 - 2010 Workshop on Graph-based Methods for Natural Language Processing|
|Redakteure/-innen||Banea, Carmen, Moschitti, Alessandro, Somasundaran, Swapna, Zanzotto, Fabio Massimo|
|Verlag||Association for Computational Linguistics|
|Seiten||93 - 97|
|Publikationsstatus||Veröffentlicht - 1 Feb. 2010|
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 602011 Computerlinguistik