Results 1 to 10 of about 266,942 (190)

Organizing an in-class hackathon to correct PDF-to-text conversion errors of 1.0 [PDF]

open access: yesGenomics & Informatics, 2020
This paper describes a community effort to improve earlier versions of the full-text corpus of Genomics & Informatics by semi-automatically detecting and correcting PDF-to-text conversion errors and optical character recognition errors during the first ...
Sunho Kim   +44 more
doaj   +1 more source

Comparing Manually Added Research Labels and Automatically Extracted Research Keywords to Identify Specialist Researchers in Learning Analytics: A Case Study Using Google Scholar Researcher Profiles

open access: yesApplied Sciences, 2023
Google Scholar (GS) has an interesting feature that allows researchers to manually assign certain research keywords to their profiles, referred to as research labels.
Naif Radi Aljohani
doaj   +1 more source

Text Analytics in Bulgarian: An Overview and Future Directions

open access: yesCybernetics and Information Technologies, 2021
Text analytics is becoming an integral part of modern business and economic research and analysis. However, the extent to which its application is possible and accessible varies for different languages.
Hristova Gloria
doaj   +1 more source

Development of Usability Enhancement Model for Unstructured Big Data Using SLR

open access: yesIEEE Access, 2021
Unstructured text contains valuable information for a range of enterprise applications and informed decision making. Text analytics is used to extract valuable insights from unstructured big data.
Kiran Adnan, Rehan Akbar, Khor Siak Wang
doaj   +1 more source

Opinion: Strategy of Semi-Automatically Annotating a Full-Text Corpus of [PDF]

open access: yesGenomics & Informatics, 2018
There is a communal need for an annotated corpus consisting of the full texts of biomedical journal articles. In response to community needs, a prototype version of the full-text corpus of Genomics & Informatics, called GNI version 1.0, has recently been
Hyun-Seok Park
doaj   +1 more source

A deep learning approach of financial distress recognition combining text

open access: yesElectronic Research Archive, 2023
The financial distress of listed companies not only harms the interests of internal managers and employees but also brings considerable risks to external investors and other stakeholders.
Jiawang Li, Chongren Wang
doaj   +1 more source

Text Mining in Big Data Analytics

open access: yesBig Data and Cognitive Computing, 2020
Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and correlations hidden in the data.
Hossein Hassani   +4 more
doaj   +1 more source

The Perspectives of Individuals with Comorbidities Towards COVID-19 Booster Vaccine Shots in Twitter: A Social Media Analysis Using Natural Language Processing, Sentiment Analysis and Topic Modeling

open access: yesJournal of Pure and Applied Microbiology, 2023
Individuals with comorbidities (i.e., Diabetes Mellitus, hypertension, heart diseases) are more likely to develop a more severe form of coronavirus disease 2019 (COVID-19), thus, they should take necessary precautions to avoid infection with severe acute
S.V. Praveen   +9 more
doaj   +1 more source

Exploring changes in guest preferences for Airbnb accommodation with different levels of sharing and prices: Using structural topic model

open access: yesFrontiers in Psychology, 2023
IntroductionOnline reviews have become an important source of information for investigating customers’ consumption experiences in academic studies. In the context of sharing economy-based accommodation, various studies have been conducted to investigate ...
Kai Ding   +6 more
doaj   +1 more source

Research on the Measurement and Characteristics of Virtual Agglomeration Based on Social Network Analysis: Evidence from 29 Manufacturing Industries in China

open access: yesSystems, 2023
(1) Background: Virtual agglomeration reshapes the organizational form and drives the sustainable development of the manufacturing industry. How to measure the virtual agglomeration level of the manufacturing industry is an important and difficult ...
Qing Zhang, Shaofeng Ru, Yiyang Cheng
doaj   +1 more source

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