2 |
Building and evaluating resources for sentiment analysis in the Greek language
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Building and evaluating resources for sentiment analysis in the Greek language
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Cognitive agents and machine learning by example : representation with conceptual graphs
|
|
|
|
BASE
|
|
Show details
|
|
5 |
What’s new? Analysing language-specific Wikipedia entity contexts to support entity-centric news retrieval
|
|
|
|
BASE
|
|
Show details
|
|
6 |
What's new? Analysing language-specific Wikipedia entity contexts to support entity-centric news retrieval
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia
|
|
|
|
Abstract:
In this paper we take an important step towards better understanding the existence and extent of entity-centric language-specific bias in multilingual Wikipedia and any deviation from its targeted neutral point of view. We propose a methodology using sentiment analysis techniques to systematically extract the variations in sentiments associated with real-world entities in different language editions of Wikipedia, illustrated with a case study of five Wikipedia language editions and a set of target entities from four categories.
|
|
URL: https://eprints.soton.ac.uk/392903/ https://eprints.soton.ac.uk/392903/1/SAC2016_SentiWiki.pdf
|
|
BASE
|
|
Hide details
|
|
9 |
Towards detection of influential sentences affecting reputation in Wikipedia
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Analysing entity context in multilingual Wikipedia to support entity-centric retrieval applications
|
|
|
|
BASE
|
|
Show details
|
|
12 |
Combining heterogeneous user generated data to sense well-being
|
|
|
|
BASE
|
|
Show details
|
|
14 |
Analysing entity context in multilingual wikipedia to support entity-centric retrieval applications ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
WarwickDCS : from phrase-based to target-specific sentiment recognition
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Automatic and manual annotation using flexible schemas for adaptation on the semantic desktop
|
|
|
|
BASE
|
|
Show details
|
|
|
|