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Patent Big Data Analysis by R Data Language for Technology Management

Sunghae Jun
2016 International Journal of Software Engineering and Its Applications  
But we have to analyze the big data containing the results of developed technologies. To solve this problem, we use R data language as an approach to technology analysis (TA).  ...  Therefore we propose a methodology of patent big data by R data language for technology management (TM). To illustrate how to apply our research to real filed, we perform a case study.  ...  Next R Data Language for Patent Big Data Analysis R is a data language for statistical computing and visualization [12] [13] .  ... 
doi:10.14257/ijseia.2016.10.1.08 fatcat:7gk7tbfwnnf4nee5iqdbgseshm

AraXLNet: pre-trained language model for sentiment analysis of Arabic

Alhanouf Alduailej, Abdulrahman Alothaim
2022 Journal of Big Data  
Particularly, XLNet has achieved state-of-the-art results for diverse natural language processing (NLP) tasks in English.  ...  The Arabic language is a complex language with little resources; therefore, its limitations create a challenge to produce accurate text classification tasks such as sentiment analysis.  ...  They trained the new model for a longer period with big data using longer sequences, eliminating the predicted objective of the following Fig. 2 Pre-training and fine-tunning procedures for BERT [26  ... 
doi:10.1186/s40537-022-00625-z dblp:journals/jbd/AlduailejA22 fatcat:i6dwkie4rndnfdiccf5dv76x7e

Study and Comparative Analysis of Programming Languages Used for Big Data

Shafagat Mahmudova
2021 Review of Information Engineering and Applications  
for data analysis.  ...  Different programming languages are used for big data projects.  ... 
doi:10.18488/journal.79.2021.81.1.9 fatcat:i5bfn372qja7veeqp4rczdigju

Technological solutions for intelligent analysis of Big Data. Programming languages
Технологічнi рішення для інтелектуального аналізу Big Data. Мови програмування

I.Y. Grishanova, Institute of Software Systems NAS of Ukraine, J.V. Rogushina, Institute of Software Systems NAS of Ukraine
2018 PROBLEMS IN PROGRAMMING  
Ключові слова: Big Data, інтелектуальний аналіз даних, машинне навчання  ...  Розглянуто проблеми, що виникають в процесі застосування методів аналізу даних до Big Data.  ...  з Big Data корисні та практично застосовні факти та знання.  ... 
doi:10.15407/pp2018.04.045 fatcat:vzyltkjyurdxtcmpjq5awro6i4

CutLang v2: Advances in a Runtime-Interpreted Analysis Description Language for HEP Data

G. Unel, S. Sekmen, A. M. Toon, B. Gokturk, B. Orgen, A. Paul, N. Ravel, J. Setpal
2021 Frontiers in Big Data  
We will present the latest developments in CutLang, the runtime interpreter of a recently-developed analysis description language (ADL) for collider data analysis.  ...  ADL is a domain-specific, declarative language that describes the contents of an analysis in a standard and unambiguous way, independent of any computing framework.  ...  Prosper for useful discussions on the language content and help with validation of analysis results. We also thank the SModelS team for a collaboration that is helping to gradually improve CutLang.  ... 
doi:10.3389/fdata.2021.659986 pmid:34169274 pmcid:PMC8218547 fatcat:3u4hiuwyh5hanlghfo3bg3p2jq

Language model-based automatic prefix abbreviation expansion method for biomedical big data analysis

Xiaokun Du, Rongbo Zhu, Yanhong Li, Ashiq Anjum
2019 Future generations computer systems  
In biomedical domain, abbreviations are appearing more and more frequently in various data sets, which has caused significant obstacles to biomedical big data analysis.  ...  Although the recall for standard abbreviation needs to be improved, but this does not affect the good complement effect for the dictionary method.  ...  Related work In biomedical big data analysis, the main research achievements involve dictionary construction and ASD.  ... 
doi:10.1016/j.future.2019.01.016 pmid:32287562 pmcid:PMC7103364 fatcat:ovnrzvsqfzhmzkdejxatvdwj6i

Towards Model-Driven Engineering for Big Data Analytics -- An Exploratory Analysis of Domain-Specific Languages for Machine Learning

Dominic Breuker
2014 2014 47th Hawaii International Conference on System Sciences  
To explore the opportunities of model-driven big data analytics, I review the main modeling languages used in machine learning as well as inference algorithms and corresponding software implementations  ...  Graphical models and general purpose inference algorithms are powerful tools for moving from imperative towards declarative specification of machine learning problems.  ...  of a DSML supporting code generation from visual representations of probabilistic models for big data analytics.  ... 
doi:10.1109/hicss.2014.101 dblp:conf/hicss/Breuker14 fatcat:hx5h23a7enawvl5lnoacesjtvu

Sentiment Analysis Application and Natural Language Processing for Mobile Network Operators' Support on Social Media

Kingsley A. Ogudo, Dahj Muwawa Jean Nestor
2019 2019 International Conference on Advances in Big Data, Computing and Data Communication Systems (icABCD)  
On the other side, the rise of text mining, sentiment analysis and the global Natural Language Processing expands the needs of Data Analysis across textual statistics.  ...  In this paper, we leverage on Natural Language Processing (NLP), using sentiment analysis and text mining to analyze Mobile Network Operators, in this case CellC followers' using the R platform.  ...  Collected data is stored as dataframes and saved as R Objects for future analysis.  ... 
doi:10.1109/icabcd.2019.8851052 fatcat:igx5watnhzdgzi3aq47orccqvq

Anime4You: An Intelligent Analytical Framework for Anime Recommendation and Personalization using AI and Big Data Analysis

Kaiho Cheung, Ishmael Rico, Tao Li, Yu Sun
2021 Natural Language Processing   unpublished
The program uses a Python-based machine learning algorithm from ScikitLearn and data from My Animelist to create an accurate model that delivers what consumers want, good recommendations [9].  ...  ANIME4YOU: AN INTELLIGENT ANALYTICAL FRAMEWORK FOR ANIME RECOMMENDATION AND PERSONALIZATION USING AI AND BIG DATA ANALYSIS  ...  They are big enough to hire professional people to recommend what to watch next and for the most part, they are on point.  ... 
doi:10.5121/csit.2021.112317 fatcat:nsvuiqejhjczbkt3k53gb6deza

The Synergy Between Programming Languages and Cryptography (Dagstuhl Seminar 14492) Programming Languages for Big Data (PlanBig) (Dagstuhl Seminar 14511) Collective Adaptive Systems: Qualitative and Quantitative Modelling and Analysis (Dagstuhl Seminar 14512)

Dieter Gollmann, Cormac Herley, Vincent Koenig, Wolter Pieters, Martina Angela, Gilles Barthe, Michael Hicks, Florian Kerschbaum, Dominique Unruh, James Cheney, Torsten Grust, Dimitrios (+4 others)
2014 unpublished
We would like to thank Jonathan Katz for his initial involvement in organizing the seminar and Matthew Hammer for his help in preparing this report. References  ...  for Big Data (PlanBig) -Programming Languages for Big Data (PlanBig) 4 5 1 1 -Programming Languages for Big Data (PlanBig) 4 5 1 1 -Programming Languages for Big Data (PlanBig  ...  a recently-introduced cryptographic mechanism that allows 4 5 1 1 -Programming Languages for Big Data (PlanBig) -Programming Languages for Big Data (PlanBig) -Programming Languages  ... 
fatcat:7wtqx2fytzaafjgvthawub66h4

The Synergy Between Programming Languages and Cryptography (Dagstuhl Seminar 14492) Programming Languages for Big Data (PlanBig) (Dagstuhl Seminar 14511) Collective Adaptive Systems: Qualitative and Quantitative Modelling and Analysis (Dagstuhl Seminar 14512)

Dieter Gollmann, Cormac Herley, Vincent Koenig, Wolter Pieters, Martina Angela, Gilles Barthe, Michael Hicks, Florian Kerschbaum, Dominique Unruh, James Cheney, Torsten Grust, Dimitrios (+4 others)
2014 unpublished
Big Data (PlanBig) (Dagstuhl Seminar 14511) Collective Adaptive Systems: Qualitative and Quantitative Modelling and Analysis (Dagstuhl Seminar 14512) Jane Hillston, Jeremy Pitt, Martin Wirsing, and  ...  The Synergy Between Programming Languages and Cryptography (Dagstuhl Seminar 14492) Gilles Barthe, Michael Hicks, Florian Kerschbaum, and Dominique Unruh . . . . . . . 22 Programming Languages for  ... 
fatcat:jrnv44xbvzb7lasa5fck4gipr4

Big Data and Natural Language Processing came together for better information extraction: Text Analytics

Harjit Singh
2016 International Journal of Scientific Research and Management  
This type of analysis is called text analytics. Text Analysis is related to Natural Language Processing and now Big Data is a voluminous source of unstructured information for Text Analytics.  ...  Big Data analysis is moving towards Text Analytics to get more and more from huge collection of data and use that information for better decisions.  ...  Now a day, top business strategies need analysis from almost all the resources of information that are available and the data becomes so big that it is Big Data.  ... 
doi:10.18535/ijsrm/v4i11.15 fatcat:cz43unpcqbcktjjfi5m4kspivu

Big Data Stream Analytics for Near Real-Time Sentiment Analysis

Otto K. M. Cheng, Raymond Lau
2015 Journal of Computer and Communications  
The main contribution of this paper is the illustration of the development of a novel big data stream analytics framework named BDSASA that leverages a probabilistic language model to analyze the consumer  ...  In the era of big data, huge volumes of data are generated from online social networks, sensor networks, mobile devices, and organizations' enterprise systems.  ...  The Big Data Stream Analytics Framework An overview of the proposed framework that leverages Big Data Stream Analytics for online Sentiment Analysis (BDSASA) is depicted in Figure 2 .  ... 
doi:10.4236/jcc.2015.35024 fatcat:hibfywzdavd7vo6tiav7xfyopq

Survey of Analytical Methods for Big Data of Quality Inspection

Yingcheng Xu, Wei Jiang, Xiuli Ning, Bisong Liu, Ya Li
2018 IOP Conference Series: Materials Science and Engineering  
It brings great challenge for data analysis as the features of huge volume, various types, high timeliness and low value density.  ...  Big data of quality inspection is consist of structured data, semi-structured data and unstructured data.  ...  How to mine and analyze massive, incomplete and dynamically updated data and acquire knowledge is a big challenge for big data of quality inspection analysis.  ... 
doi:10.1088/1757-899x/466/1/012030 fatcat:f2oiyrbzkvdw7ia5wdsfzegxju

Holistic Language Teaching Method in College English Vocabulary Teaching under Big Data and Multimedia Environment

Xiaoxia Peng, Punit Gupta
2022 Scientific Programming  
In this situation, big data have become the future development trend of the world.  ...  This article uses questionnaire surveys and data analysis methods to understand the difficulties encountered by college students in English vocabulary learning and their views on the application of holistic  ...  of enterprises for information management and analysis.  ... 
doi:10.1155/2022/4250202 fatcat:ra5plo2fkjbgpkdgy2lixq73se
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