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Social sentiment indices powered by X-scores
(INSIGHT Centre for Data Analytics, NUI Galway, Ireland, 2016-05)
Social Sentiment Indices powered by X-Scores (SSIX) seeks to address the challenge of extracting relevant and valuable economic signals in a cross-lingual fashion from the vast variety of and increasingly influential social ...
Towards predicting academic impact from mainstream news and weblogs: A heterogeneous graph based approach
(IEEE, 2016-11-24)
The realization that scholarly publications are discussed and have influence on discourse outside scientific and academic domains has given rise to area of scientometrics called alternative metrics or “altmetrics”. ...
SemEval-2017 Task 5: Fine-grained sentiment analysis on financial microblogs and news
(Association for Computational Linguistics, 2017-08-03)
This paper discusses the “Fine-Grained
Sentiment Analysis on Financial Microblogs
and News” task as part of
SemEval-2017, specifically under the
“Detecting sentiment, humour, and truth”
theme. This task contains two ...
Predicting citations from mainstream news, weblogs and discussion forum
(ACM (Association for Computing Machinery), 2017-08-23)
The growth in the alternative digital publishing is widening the
breadth of scholarly impact beyond the conventional bibliometric
community. Thus, research is becoming more reachable both inside
and outside of academic ...
On developing extraction rules for mining informal scientific references from Altmetric data sources
(Springer Verlag, 2015-06-04)
Altmetrics measure scientific impact outside of traditional scientific literature. We identify mentions of scientific research or entities like researchers, academic or research organizations in a corpus containing blogs, ...
The SSIX corpora: three gold standard corpora for sentiment analysis in English, Spanish and German financial microblogs
(European Language Resources Association, 2018-05-07)
This paper introduces the three SSIX corpora for sentiment analysis. These corpora address the need to provide annotated data for
supervised learning methods. They focus on stock-market related messages extracted from two ...
From simplified text to knowledge representation using controlled natural language
(2017-04-17)
Knowledge based systems provide means to store data and
perform reasoning on top of it. Controlled Natural Language (CNL) is
considered as an engineered subset of natural language. CNLs aim to
abstract the complexity ...
SemR-11: a multi-lingual gold-standard for semantic similarity and relatedness for eleven languages
(European Language Resources Association, 2018-05-07)
This work describes SemR-11, a multi-lingual dataset for evaluating semantic similarity and relatedness for 11 languages (German,
French, Russian, Italian, Dutch, Chinese, Portuguese, Swedish, Spanish, Arabic and Persian). ...
FinSentiA: sentiment analysis in English financial microblogs
(NUI Galway, 2018-05-14)
The objective of this paper is to report on the building of a Sentiment Analysis (SA) system dedicated
to financial microblogs in English. The purpose of our work is to build a financial classifier that predicts the
sentiment ...
Rewriting simplified text into a controlled natural language
(IOS Press, 2018-08-27)
While machine processable Controlled Natural Languages (CNLs) as a natural language interface have proven a popular, unambiguous and user friendly method for non experts to engineer formal knowledge-bases, human-oriented ...