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Text Mining in Big Data Analytics [PDF]
Big 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
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CrossRef Text and Data Mining Services [PDF]
Insights: The UKSG Journal, 2015 The discipline of text and data mining (TDM) is growing in visibility in the scholarly research community. In May 2014, CrossRef launched CrossRef Text and Data Mining Services, which aims to alleviate the issues that text mining researchers encounter ...
Rachael Lammey
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Opportunities and risks of disaster data from social media: a systematic review of incident information [PDF]
Natural Hazards and Earth System Sciences, 2021 Compiling and disseminating information about incidents and disasters are key to disaster management and relief. But due to inherent limitations of the acquisition process, the required information is often incomplete or missing altogether. To fill these
M. Wiegmann +6 more
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Copyright law and text and data mining [PDF]
Zbornik Radova Pravnog Fakulteta u Nišu, 2021 Digital environment poses new challenges to the traditional concept of copyright protection. Digital copies of works, new forms of exploitation of copyrighted goods, the impossibility of adequate enforcement of intellectual property rights on the ...
Ivanović Svjetlana
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Optimizing the organization of Persian text documents using clustering technique [PDF]
Iranian Journal of Information Processing & Management, 2023 The present study aimed to designing a method for organizing Persian text documents using the clustering technique. The data set related to theses and dissertations including 2943 researches was considered as a statistical population. Data were collected
Elham Yalveh +2 more
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Journal of King Saud University: Computer and Information Sciences, 2020 Detecting the articles which consist of protein–protein interactions (PPI) is a significant step in biological information extraction. In this paper, we present a hybrid text classification (TC) method to identify protein–protein interaction articles ...
Sabenabanu Abdulkadhar +2 more
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Exploiting Stacked Autoencoders for Improved Sentiment Analysis
Applied Sciences, 2022 Sentiment analysis is an ongoing research field within the discipline of data mining. The majority of academics employ deep learning models for sentiment analysis due to their ability to self-learn and process vast amounts of data.
Kanwal Ahmed +6 more
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Identification of Text Mining Use Cases In Manufacturing Companies
Proceedings of the Conference on Production Systems and Logistics, 2023 Manufacturing companies face the challenge of managing vast amounts of unstructured data generated by various sources such as social media, customer feedback, product reviews, and supplier data. Text-mining technology, a branch of data mining and natural
Clemens, Florian +4 more
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Mining publication papers via text mining Evaluation and Results [PDF]
International Journal of Intelligent Computing and Information Sciences, 2021 Data nowadays is the language of technologies as every process needs a data to be processed the input is data and the output also is data. Analyzing the data is a significant task especially with the increasing production of the data particularly data as
ahmed saeed, Mostafa Aref, sally Saad
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Text Summarizing and Clustering Using Data Mining Technique
Al-Mustansiriyah Journal of Science, 2023 Text summarization is an important research topic in the field of information technology because of the large volume of texts, and the large amount of data found on the Internet and social media.
Zainab Abdul-Wahid Salman
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