- Tytuł:
- Adapting a constituency parser to user-generated content in polish opinion mining
- Autorzy:
-
Pluwak, A.
Korczynski, W.
Kisiel-Dorohinicki, M. - Powiązania:
- https://bibliotekanauki.pl/articles/305485.pdf
- Data publikacji:
- 2016
- Wydawca:
- Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
- Tematy:
-
user generated content
text normalization
parsing
sentiment analysis - Opis:
- The paper focuses on the adjustment of NLP tools for Polish; e.g., morphological analyzers and parsers, to user-generated content (UGC). The authors discuss two rule-based techniques applied to improve their efficiency: pre-processing (text normalization) and parser adaptation (modified segmentation and parsing rules). A new solution to handle OOVs based on inflectional translation is also offered.
- Źródło:
-
Computer Science; 2016, 17 (1); 23-44
1508-2806
2300-7036 - Pojawia się w:
- Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł