Study on suitability and importance of multilayer extreme learning machine for classification of text data
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2189-8
Abstract: The dynamic Web, which contains huge number of digital documents, is expanding day by day. Thus, it has become a tough challenge to search for a particular document from such a large volume of collections.… read more here.
Keywords: classification; feature selection; feature; text data ... See more keywords
Deliberative Democracy in an Unequal World: A Text-As-Data Study of South India’s Village Assemblies
Sign Up to like & getrecommendations! Published in 2019 at "American Political Science Review"
DOI: 10.1017/s0003055419000182
Abstract: This paper opens the “black box” of real-world deliberation by using text-as-data methods on a corpus of transcripts from the constitutionally mandated gram sabhas, or village assemblies, of rural India. Drawing on normative theories of… read more here.
Keywords: democracy unequal; world; deliberative democracy; text data ... See more keywords
Practical text analytics: maximizing the value of text data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1628899
Abstract: Mostly, statisticians and allied researchers resort to quantitative studies inwhich numerical data are involved. Lately, with the computer oriented professional life of the twenty-first century, researchers could easily practice text based analysis as it is… read more here.
Keywords: text analytics; analysis; book; text data ... See more keywords
Analysis of Smartphone Text Data Related to Mpox from a U.S. Sample of Gay, Bisexual, and Other Men Who Have Sex with Men During the 2022 Outbreak.
Sign Up to like & getrecommendations! Published in 2023 at "LGBT health"
DOI: 10.1089/lgbt.2022.0307
Abstract: Purpose: We sought to understand technology-based communication regarding mpox (monkeypox) among gay, bisexual, and other men who have sex with men (GBMSM) during the global outbreak in 2022. Methods: Forty-four GBMSM (Mage = 25.3 years, 68.2% cisgender,… read more here.
Keywords: bisexual men; text data; gay bisexual; sex men ... See more keywords
An Unsupervised Approach of Truth Discovery From Multi-Sourced Text Data
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DOI: 10.1109/access.2019.2934469
Abstract: Truth discovery methods aim to identify which piece of information is trustworthy from multi-sourced data. Most existing truth discovery methods, however, are designed for structured data and fail to meet the strong need to extract… read more here.
Keywords: truth discovery; truth; text data; multi sourced ... See more keywords
Parallel Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2022.3145489
Abstract: As a novel paradigm for data mining and dimensionality reduction, Non-negative Matrix Tri-Factorization (NMTF) has attracted much attention due to its notable performance and elegant mathematical derivation, and it has been applied to a plethora… read more here.
Keywords: data clustering; text data; matrix tri; non negative ... See more keywords
Mining Online Discussion Data for Understanding Teachers’ Reflective Thinking
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Learning Technologies"
DOI: 10.1109/tlt.2017.2708115
Abstract: Teachers’ online discussion text data shed light on their reflective thinking. With the growing scale of text data, the traditional way of manual coding, however, has been challenged. In order to process the large-scale unstructured… read more here.
Keywords: reflective thinking; online discussion; teachers reflective; inductive content ... See more keywords
Deep Visual Semantic Embedding with Text Data Augmentation and Word Embedding Initialization
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Problems in Engineering"
DOI: 10.1155/2021/6654071
Abstract: Language and vision are the two most essential parts of human intelligence for interpreting the real world around us. How to make connections between language and vision is the key point in current research. Multimodality… read more here.
Keywords: embedding initialization; augmentation; text data; word embedding ... See more keywords
A Combined Approach for Multi-Label Text Data Classification
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/3369703
Abstract: Automated data analysis solutions are very dependent on data and its quality. The possibility of assigning more than one class to the same data item is one of the specificities that need to be taken… read more here.
Keywords: classification; text data; combined approach; approach ... See more keywords
Clinical Text Data Categorization and Feature Extraction Using Medical-Fissure Algorithm and Neg-Seq Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5759521
Abstract: A large amount of patient information has been gathered in Electronic Health Records (EHRs) concerning their conditions. An EHR, as an unstructured text document, serves to maintain health by identifying, treating, and curing illnesses. In… read more here.
Keywords: medical fissure; fissure algorithm; clinical text; text data ... See more keywords
An Efficient Data Classification Decision Based on Multimodel Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7636705
Abstract: A single model is often used to classify text data, but the generalization effect of a single model on text data sets is poor. To improve the model classification accuracy, a method is proposed that… read more here.
Keywords: network; classification; text data; deep learning ... See more keywords