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Ensuring Availability and Quality of Research Data through Open Access and Public Peer-Review
2014
Septentrio Conference Series
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ESSD's Public Peer-Review Data as a publication Advantage external data repository capacities Advantage internal peer-review dedicated to the data sets Data publication prior to the publication ...
Author
Data Article
Data Repository
Publisher System
Data Paper
Data Sets
Peer-Review
Authors: Scientists & Engineers
The Data Publishing Journal ESSD
Articles on original data sets ...
doi:10.7557/3028
fatcat:gts5cuy2znfejeojuyrsy37l5q
A Hybrid Model for Monolingual and Multilingual Toxic Comment Detection
2021
Tehnički Vjesnik
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Through this way, we can fully utilize the large amount of unlabeled data; reduce dependence on labeled comment data; and improve the effectiveness of detection. ...
We use masked language modeling to semi-supervise the fine-tuning of multilingual pre-trained model on unlabeled data and then use labeled data to fine-tune the model. ...
Figure 4 The structure of the model to be supervised and fine-tuned
Model Fusion Monolingual model performs classification training on the data of a single-language so it fits the data better. ...
doi:10.17559/tv-20210325125414
fatcat:sol6qt3iibfsjiq2t7gd6trbmq
Ensuring Availability and Quality of Research Data through Open Access and Public Peer-Review
2014
Septentrio Conference Series
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On the one hand, the data can be the basis for a research article and undergoes a review parallel to the review of the manuscript. The data is then a reviewed supplement to a scientific publication. ...
Besides the access to the data sets through data repositories together with some metadata, the data should undergo a transparent peer-review using a publication platform.The presentation discusses two ...
ESSD's Public Peer-Review Data as a publication Advantage external data repository capacities Advantage internal peer-review dedicated to the data sets Data publication prior to the publication ...
doi:10.7557/5.3028
fatcat:p3dvzh2si5a35f7rm2xevvtipq
Multi-lingual opinion mining on YouTube
2016
Information Processing & Management
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We here focus on Opinion Mining for YouTube by (i) modeling classifiers that predict the type of a comment and its polarity, while distinguishing whether the polarity is directed towards the product or ...
video; (ii) proposing a robust shallow syntactic structure (STRUCT) that adapts well when tested across domains; and (iii) evaluating the effectiveness on the proposed structure on two languages, English ...
large of an advantage as expected for very little data. ...
doi:10.1016/j.ipm.2015.03.002
fatcat:ty37cfmfqvcxplqlftxypy7fbq
Research on Sentiment Analysis of Chinese E-Commerce Comments Based on Deep Learning
2019
Journal of Physics, Conference Series
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with other models. [4], LSTM Attention [5] and TCN [6] model on the same data set. ...
These models have achieved good results in English sentiment analysis. But on Chinese data sets, these models perform not satisfactory. ...
• The length of the model can be freely scaled to any length, which has the same structural advantages as the RNN model. ...
doi:10.1088/1742-6596/1237/2/022002
fatcat:ga3mmsszbzbulilqx3dxwz3ihq
A scoping review of malaria forecasting: past work and future directions
2012
BMJ Open
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I would suggest to shorten this discussion on advantages and disadvantages, and focus on suitability of methods depending on the data time series. ...
I would suggest to shorten this discussion on advantages and disadvantages, and focus on suitability of methods depending on the data time series. ...
doi:10.1136/bmjopen-2012-001992
pmid:23180505
pmcid:PMC3533056
fatcat:y4ilu2li6naj7dve767yzdaf7u
Empirical study on influencing factors of knowledge product remixing in OIC
2020
IEEE Access
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Remixing of knowledge products has become one of the mainstream innovation models for the online innovation community (OIC). ...
We first propose an analytical model for influencing factors of knowledge product remixing, then come up with a method for identifying false product attributes based on deep learning, and finally sum up ...
FALSE COMMENT IDENTIFICATION BASED ON CNN + LSTM A model of false comment identification based on CNN + LSTM is designed in view of their advantages, with its overall structure as shown in Fig. 4 . ...
doi:10.1109/access.2020.2974693
fatcat:3rgvadul4vacrcjoys36mw4dm4
Page 749 of Psychological Abstracts Vol. 92, Issue 3
[page]
2005
Psychological Abstracts
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However, the presence of masking variables in a data set can impede the ability of the K-means algorithm to recover the true cluster structure. ...
—A number of important applications require the clustering of binary data sets. ...
The Food Enterprise Risk Warning Technology Based on Data Mining and Information Fusion
2014
Open Electrical & Electronic Engineering Journal
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For this reason, a novel risk warning technology is proposed to food enterprises based on data mining and information fusion. ...
The food enterprise risk warning problem is an important issue both in the theoretical and practical aspects. ...
Risk comment set
Table 3 . 3 The food enterprise risk. Comment Set ...
doi:10.2174/1874129001408010664
fatcat:fa2ixwgv5bfklbszc3xu6jp2rm
An Opinion Spam Detection Method Based on Multi-Filters Convolutional Neural Network
2020
Computers Materials & Continua
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With the continuous development of e-commerce, consumers show increasing interest in posting comments on consumption experience and quality of commodities. ...
So the reliability of commodity comments has a significant impact on ensuring consumers' equity and building a fair internet-trade-environment. ...
The experiment based on the dataset of Li mainly verifies the influence of data volume on experimental results, ignoring the influence of parameter setting on experimental results. ...
doi:10.32604/cmc.2020.09835
fatcat:x42ce5dpd5gbpdzqgjfzba7dfu
Towards a Set Theoretical Approach to Big Data Analytics
2014
2014 IEEE International Congress on Big Data
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Second, we outline a formal model based on set theory and discuss the semantics of the formal model with a real-world social data example from Facebook. ...
Fourth and last, based on the formal model and sentiment analysis of text, we present a method for profiling of artifacts and actors and apply this technique to the data analysis of big social data collected ...
discussed under Advantages of Set Thoeretical Approach (Sec. ...
doi:10.1109/bigdata.congress.2014.96
dblp:conf/bigdata/MukkamalaHV14
fatcat:sijv6ylk3fbotnss43zf3j4ppm
Bridging gaps between statistical and mathematical modeling in ecology
2010
Ecology
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On the right hand side of the figure, we begin with a proposed theoretical model of reality, which generates data. The goal of the modeler is to have this proposed mathematical model ...
Hilborn and Mangel's (1997) Ecological Detective set the stage for expanding the toolbox when, as their subtitle suggests, "confronting models with data." ...
On the right hand side of the figure, we begin with a proposed theoretical model of reality, which generates data. ...
doi:10.1890/10-0432.1
pmid:21302823
pmcid:PMC4007138
fatcat:ttblx3e75bglllys6jrcxyxiju
Comments on: Panel data analysis—advantages and challenges
2007
Test (Madrid)
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This comment refers to the invited paper available at: http://dx. ...
Evidently, as he already mentions himself, no survey can do justice to the huge literature in the field. ...
By imposing restrictions on the general SEM structure a wide variety of specific models can be generated, including dynamic ones. ...
doi:10.1007/s11749-007-0050-1
fatcat:4no736izs5hozg7pby4p6ue7wu
Sentiment Analysis of Film Reviews Based on BI-GRU+Attention+Capsule Fusion
2021
Academic Journal of Computing & Information Science
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In our experiment on the task of sentiment analysis in dataset IMDB (a public film review dataset), our model achieve the state-of-the-art results. ...
The accuracy of using single CNN is successively higher than that of LSTM, BI-GRU and GRU model. ...
In the subsequent work, the performance of the model on other data sets will be explored to enhance the mobility of the model. ...
doi:10.25236/ajcis.2021.040404
fatcat:q5lwmbfx4vggzmxzmrzeekdtfu
MetaFac
2009
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '09
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This paper aims at discovering community structure in rich media social networks, through analysis of time-varying, multi-relational data. ...
Extensive experiments on real-world social data collected from the Digg social media website suggest that our technique is scalable and is able to extract meaningful communities based on the social media ...
Since historic information is contained in the community model extracted based on previously observed data, the new community structure to be extracted should be consistent with previous community model ...
doi:10.1145/1557019.1557080
dblp:conf/kdd/LinSCKSK09
fatcat:lscm4tepubh37ptkyo72epc3ba
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