Results 21 to 30 of about 79,268 (265)
Presenting a Text Mining Algorithm to Identify Emotion in Persian Corpus [PDF]
Journal of Information Technology Management, 2018 The literature regarding Persian text mining indicates that most studies are conducted to detect polarity of opinions on social websites. The aim of this research is presenting an algorithm to identify emotion implemented in the text based on the ...
Masoud Garshasbi +2 more
doaj +1 more source
Towards Useful Information from Unstructured Data Mining
EIRP Proceedings, 2021 Continous development of web, social networking, mobile computing and Internet of Things in the last decades has led to a dramatic increase in the volume of data generated and, consequently, to the need for new ways of storing and analyzing of these ...
Adina Barila +2 more
doaj
Improving Laboratories Efficiency through Website Using Text Mining [PDF]
Engineering and Technology Journal, 2013 Text mining is an emerging technology that can be used to augment existing data in corporate databases by making unstructured text data available for analysis.
Abeer Tariq
doaj +1 more source
ISPRS International Journal of Geo-Information, 2021 The use of social media data provided powerful data support to reveal the spatiotemporal characteristics and mechanisms of human activity, as it integrated rich spatiotemporal and textual semantic information.
Jian Liu +5 more
doaj +1 more source
TEXT AND DATA MINING FOR BIOMEDICAL DISCOVERY [PDF]
Biocomputing 2013, 2012 The biggest challenge for text and data mining is to truly impact the biomedical discovery process, enabling scientists to generate novel hypothesis to address the most crucial questions. Among a number of worthy submissions, we have selected six papers that exemplify advances in text and data mining methods that have a demonstrated impact on a wide ...
Graciela, Gonzalez +7 more
openaire +2 more sources
Frontiers in Public Health, 2022 Under the epidemic situation of COVID-19, university students have different levels of anxiety, depression, and other psychological problems, and these differing levels present different challenges. Therefore, universities and relevant departments should
Zuqin Lu, Zuqin Lu
doaj +1 more source
Radiogenomic-based prediction of genetic alterations in oncogenic signaling pathways in lung cancer
Egyptian Journal of Medical Human GeneticsRationale and objectives Lung adenocarcinoma, a type of non-small cell lung cancer (NSCLC), originates from the peripheral lung tissue and is the most prevalent histologic subtype, constituting around 40% of cases.
Priyadharshini Jayachandran +2 more
doaj +1 more source
A Local Discrete Text Data Mining Method in High-Dimensional Data Space
International Journal of Computational Intelligence Systems, 2022 Aiming at the problems of low accuracy, the long time required, and the large memory consumption of traditional data mining methods, a local discrete text data mining method in high-dimensional data space is proposed.
Juan Li, Aiping Chen
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Finding novel vulnerabilities of hypomorphic BRCA1 alleles
Molecular Oncology, EarlyView.Synthetic lethality screens performed to identify novel vulnerabilities often model complete gene loss, thereby overlooking patient‐derived hypomorphic mutations. In this study, we have performed genome‐wide CRISPR screens on BRCA1 hypomorphic mutations, showing BRCA1I26A behaves like wild‐type, while BRCA1R1699Q mimics deficiency. Furthermore, we have
Anne Schreuder +10 more
wiley +1 more source