Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of TextGraphs-5 - 2010 Workshop on Graph-based Methods for Natural Language Processing |
| Editors | Banea, Carmen, Moschitti, Alessandro, Somasundaran, Swapna, Zanzotto, Fabio Massimo |
| Place of Publication | Uppsala, Sweden |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 93 - 97 |
| Publication status | Published - 1 Feb 2010 |
Austrian Classification of Fields of Science and Technology (ÖFOS)
- 602011 Computational linguistics