Articles with "semantic similarity" as a keyword



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A multilingual fuzzy approach for classifying Twitter data using fuzzy logic and semantic similarity

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Published in 2019 at "Neural Computing and Applications"

DOI: 10.1007/s00521-019-04357-9

Abstract: In recent years, the classification of the social networks' data has witnessed an increasing interest. It aims at extracting opinions, emotions and attitudes from social networks' data such as Facebook comments or tweets. This new… read more here.

Keywords: semantic similarity; using fuzzy; approach; fuzzy logic ... See more keywords
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Sentiment analysis using semantic similarity and Hadoop MapReduce

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Published in 2018 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-018-1212-z

Abstract: Sentiment analysis or opinion mining is a domain that analyses people’s opinions, sentiments, evaluations, attitudes, and emotions from a written language; it had become a very active area of scientific research in recent years, especially… read more here.

Keywords: similarity; sentiment analysis; semantic similarity; tweet ... See more keywords
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Combining semantic and term frequency similarities for text clustering

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Published in 2019 at "Knowledge and Information Systems"

DOI: 10.1007/s10115-018-1278-7

Abstract: A key challenge for document clustering consists in finding a proper similarity measure for text documents that enables the generation of cohesive groups. Measures based on the classic bag-of-words model take into account solely the… read more here.

Keywords: semantic similarity; similarity; frequency; combining semantic ... See more keywords
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Semantic similarity aggregators for very short textual expressions: a case study on landmarks and points of interest

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Published in 2019 at "Journal of Intelligent Information Systems"

DOI: 10.1007/s10844-019-00561-0

Abstract: Semantic similarity measurement aims to automatically compute the degree of similarity between two textual expressions that use different representations for naming the same concepts. However, very short textual expressions cannot always follow the syntax of… read more here.

Keywords: semantic similarity; similarity; textual expressions; short textual ... See more keywords
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Semantic similarity measures for formal concept analysis using linked data and WordNet

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Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-7150-2

Abstract: Formal Concept Analysis (FCA) is a field of applied mathematics with its roots in order theory, in particular the theory of complete lattices. It is not only a method for data analysis and knowledge representation,… read more here.

Keywords: linked data; concept; semantic similarity; similarity ... See more keywords
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Semantic consistent adversarial cross-modal retrieval exploiting semantic similarity

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Published in 2019 at "Multimedia Tools and Applications"

DOI: 10.1007/s11042-019-7343-8

Abstract: Cross-modal retrieval aims to search the semantically similar instances from the other modalities given a query from one modality. However, the differences of the distributions and representations between different modalities make that the similarity of… read more here.

Keywords: different modalities; semantic similarity; similarity; cross modal ... See more keywords
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A semantic similarity adjusted document co-citation analysis: a case of tourism supply chain

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Published in 2020 at "Scientometrics"

DOI: 10.1007/s11192-020-03608-0

Abstract: Document co-citation analysis (DCA) is employed across various academic disciplines and contexts to characterise the structure of knowledge. Since the introduction of the method for DCA by Small (J Am Soc Inf Sci 24(4):265–269, 1973)… read more here.

Keywords: semantic similarity; similarity; citation; citation analysis ... See more keywords
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Semantic Similarity Analysis Reveals Robust Gene-Disease Relationships in Developmental and Epileptic Encephalopathies

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Published in 2020 at "American Journal of Human Genetics"

DOI: 10.1016/j.ajhg.2020.08.003

Abstract: Summary More than 100 genetic etiologies have been identified in developmental and epileptic encephalopathies (DEEs), but correlating genetic findings with clinical features at scale has remained a hurdle because of a lack of frameworks for… read more here.

Keywords: semantic similarity; similarity; disease; similarity analysis ... See more keywords
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Measuring semantic similarity of clinical trial outcomes using deep pre-trained language representations

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Published in 2019 at "Journal of biomedical informatics"

DOI: 10.1016/j.yjbinx.2019.100058

Abstract: BACKGROUND Outcomes are variables monitored during a clinical trial to assess the impact of an intervention on humans' health.Automatic assessment of semantic similarity of trial outcomes is required for a number of tasks, such as… read more here.

Keywords: trial; semantic similarity; similarity; single measures ... See more keywords
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Identifying High-Priority Proteins Across the Human Diseasome Using Semantic Similarity.

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Published in 2018 at "Journal of proteome research"

DOI: 10.1021/acs.jproteome.8b00393

Abstract: Identifying the genes and proteins associated with a biological process or disease is a central goal of the biomedical research enterprise. However, relatively few systematic approaches are available that provide objective evaluation of the genes… read more here.

Keywords: protein; human diseasome; research; semantic similarity ... See more keywords
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Verbal problem-solving in agenesis of the corpus callosum: Analysis using semantic similarity.

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Published in 2023 at "Neuropsychology"

DOI: 10.1037/neu0000894

Abstract: OBJECTIVE Previous studies demonstrated that individuals with agenesis of the corpus callosum (AgCC) experience difficulties in novel and complex problem-solving. The present study investigated verbal problem-solving, deductive reasoning, and semantic inference in AgCC. METHOD Capacity… read more here.

Keywords: problem; corpus callosum; problem solving; semantic similarity ... See more keywords