| 48479 |
Creator |
b040f63fe07909831fea669121318768 |
| 48479 |
Creator |
c9aa7f2e582d191ed728ad414c5ea711 |
| 48479 |
Creator |
def33917ff93e2908aacd52ed8b81d9f |
| 48479 |
Creator |
fafb9680e3053ad740ec3e44d38f5000 |
| 48479 |
Date |
2016 |
| 48479 |
Is Part Of |
p03029743 |
| 48479 |
Is Part Of |
repository |
| 48479 |
abstract |
Characterising social media topics often requires new features to be continuously
taken into account, and thus increasing the need for classifier retraining. One challenging
aspect is the emergence of ambiguous features, which can affect classification performance.
In this paper we investigate the impact of the use of ambiguous features in a topic
classification task, and introduce the Semantic Topic Compass (STC) framework, which
characterises ambiguity in a topics feature space. STC makes use of topic priors derived
from structured knowledge sources to facilitate the semantic feature grading of a
topic. Our findings demonstrate the proposed framework offers competitive boosts in
performance across all datasets. |
| 48479 |
authorList |
authors |
| 48479 |
status |
peerReviewed |
| 48479 |
uri |
http://data.open.ac.uk/oro/document/566486 |
| 48479 |
uri |
http://data.open.ac.uk/oro/document/566487 |
| 48479 |
uri |
http://data.open.ac.uk/oro/document/566488 |
| 48479 |
uri |
http://data.open.ac.uk/oro/document/566489 |
| 48479 |
uri |
http://data.open.ac.uk/oro/document/566490 |
| 48479 |
uri |
http://data.open.ac.uk/oro/document/566491 |
| 48479 |
uri |
http://data.open.ac.uk/oro/document/569411 |
| 48479 |
volume |
9678 |
| 48479 |
type |
AcademicArticle |
| 48479 |
type |
Article |
| 48479 |
label |
Cano, Amparo Elizabeth ; Saif, Hassan ; Alani, Harith and Motta, Enrico (2016).
Semantic Topic Compass – Classification Based on Unsupervised Feature Ambiguity Gradation.
Lecture Notes in Computer Science, 9678 pp. 350–367. |
| 48479 |
label |
Cano, Amparo Elizabeth ; Saif, Hassan ; Alani, Harith and Motta, Enrico (2016).
Semantic Topic Compass – Classification Based on Unsupervised Feature Ambiguity Gradation.
Lecture Notes in Computer Science, 9678 pp. 350–367. |
| 48479 |
Title |
Semantic Topic Compass – Classification Based on Unsupervised Feature Ambiguity Gradation |
| 48479 |
in dataset |
oro |