Informetrics at the beginning of the 21st century—A review

J Bar-Ilan - Journal of informetrics, 2008 - Elsevier
This paper reviews developments in informetrics between 2000 and 2006. At the beginning
of the 21st century we witness considerable growth in webometrics, mapping and …

Latent semantic analysis: five methodological recommendations

N Evangelopoulos, X Zhang… - European Journal of …, 2012 - Taylor & Francis
The recent influx in generation, storage, and availability of textual data presents researchers
with the challenge of developing suitable methods for their analysis. Latent Semantic …

Voice of airline passenger: A text mining approach to understand customer satisfaction

E Sezgen, KJ Mason, R Mayer - Journal of Air Transport Management, 2019 - Elsevier
This paper investigates the key drivers of customer satisfaction and dissatisfaction towards
both, full-service and low-cost carriers and also towards, economy and premium cabins …

CUR matrix decompositions for improved data analysis

MW Mahoney, P Drineas - Proceedings of the National …, 2009 - National Acad Sciences
Principal components analysis and, more generally, the Singular Value Decomposition are
fundamental data analysis tools that express a data matrix in terms of a sequence of …

Interpretation and trust: Designing model-driven visualizations for text analysis

J Chuang, D Ramage, C Manning, J Heer - Proceedings of the SIGCHI …, 2012 - dl.acm.org
Statistical topic models can help analysts discover patterns in large text corpora by
identifying recurring sets of words and enabling exploration by topical concepts. However …

Semantic matching in search

H Li, J Xu - Foundations and Trends® in Information …, 2014 - nowpublishers.com
Relevance is the most important factor to assure users' satisfaction in search and the
success of a search engine heavily depends on its performance on relevance. It has been …

Clustering more than two million biomedical publications: Comparing the accuracies of nine text-based similarity approaches

KW Boyack, D Newman, RJ Duhon, R Klavans… - PloS one, 2011 - journals.plos.org
Background We investigate the accuracy of different similarity approaches for clustering over
two million biomedical documents. Clustering large sets of text documents is important for a …

How something can be said about telling more than we can know: On choice blindness and introspection

P Johansson, L Hall, S Sikström, B Tärning… - Consciousness and …, 2006 - Elsevier
The legacy of Nisbett and Wilson's classic article, Telling More Than We Can Know: Verbal
Reports on Mental Processes (1977), is mixed. It is perhaps the most cited article in the …

Neurochemical models of near-death experiences: A large-scale study based on the semantic similarity of written reports

C Martial, H Cassol, V Charland-Verville… - Consciousness and …, 2019 - Elsevier
The real or perceived proximity to death often results in a non-ordinary state of
consciousness characterized by phenomenological features such as the perception of …

An approach to source-code plagiarism detection and investigation using latent semantic analysis

G Cosma, M Joy - IEEE transactions on computers, 2011 - ieeexplore.ieee.org
Plagiarism is a growing problem in academia. Academics often use plagiarism detection
tools to detect similar source-code files. Once similar files are detected, the academic …