24 papers · ranked by Valyu relevance
Mehdi Allahyari, Seyed Amin Pouriyeh, Mehdi Assefi, Saied Safaei + 3 more
'Elizabeth D. Trippe' 'Juan B. Gutiérrez' 'Krys J. Kochut'] The amount of text that is generated every day is increasing dramatically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers. Therefore, efficient and effective techniques and algorithms are required to…
Julia C. Lensing, John Y. Choe, Branden B. Johnson, Jingwen Wang + 1 more
'Toqir Rana'] Many practical disaster reports are published daily worldwide in various forms, including after-action reports, response plans, impact assessments, and resiliency plans. These reports serve as vital resources, allowing future generations to learn from past events and better mitigate and prepare for future…
Antti Puurula
The information age has brought a deluge of data. Much of this is in text form, insurmountable in scope for humans and incomprehensible in structure for computers. Text mining is an expanding field of research that seeks to utilize the information contained in vast document collections. General data mining methods…
Andrey Rzhetsky, Michael Seringhaus, Mark B. Gerstein, Olga G. Troyanskaya
We are, in a sense, drowning in information. Today, it is unusual for scientists even to read a journal cover to cover-much less to personally parse all information pertinent to even a narrow research area. Increasingly complex content, large digital supplements, and a staggering volume of publications are now…
Sumaia Mohammed Al-Ghuribi, Shahrul Azman Mohd Noah
The rapid growth of the internet has increased the number of online texts. This led to the rapid growth of the number of online texts in the Arabic language. The enormous amount of text must be organized into classes to make the analysis process and text retrieval easier. Text classification is, therefore, a key…
Jussi Karlgren, Renee Li, Eva M. Meyersson Milgrom
—We use commercially available text analysis technology to process interview text data from a computational social science study. We find that topical clustering and terminological enrichment provide for convenient exploration and quantification of the responses. This makes it possible to generate and test hypotheses…
David Westergaard, Hans-Henrik Stærfeldt, Christian Tønsberg, Lars Juhl Jensen + 1 more
Across academia and industry, text mining has become a popular strategy for keeping up with the rapid growth of the scientific literature. Text mining of the scientific literature has mostly been carried out on collections of abstracts, due to their availability. Here we present an analysis of 15 million English…
K. Bretonnel Cohen, Lawrence E. Hunter, Fran Lewitter, Maricel Kann
Text mining for translational bioinformatics is a new field with tremendous research potential. It is a subfield of biomedical natural language processing that concerns itself directly with the problem of relating basic biomedical research to clinical practice, and vice versa. Applications of text mining fall both into…
Mohamed Firdhous
––The term legal research generally refers to the process of identifying and retrieving appropriate information necessary to support legal decision-making from past case records. At present, the process is mostly manual, but some traditional technologies such as keyword searching are commonly used to speed the process…
Tanja Bekhuis
Innovative biomedical librarians and information specialists who want to expand their roles as expert searchers need to know about profound changes in biology and parallel trends in text mining. In recent years, conceptual biology has emerged as a complement to empirical biology. This is partly in response to the…
P. Ramya, S. Sasirekha
-- Service oriented architecture integrated with text mining allows services to extract information in a well defined manner. In this paper, it is proposed to design a knowledge extracting system for the Ocean Information Data System. Deployed ARGO floating sensors of INCOIS (Indian National Council for Ocean…
Calvin Lam, Fu-Chih Lai, Chia-Hui Wang, Mei-Hsin Lai + 3 more
Text mining is the process of deriving knowledge from unstructured data, such as those from text paragraphs . To specify the direction of text mining, the necessary and unnecessary categories of studies can be assigned to automatically categorize unstructured data during the text mining process . Previous text mining…
Zhiqiang Zeng, Hua Shi, Yun Wu, Zhiling Hong
Informatics methods, such as text mining and natural language processing, are always involved in bioinformatics research. In this study, we discuss text mining and natural language processing methods in bioinformatics from two perspectives. First, we aim to search for knowledge on biology, retrieve references using…
Diogo de Jesus Soares Machado, Camilla Reginatto De Pierri, Letícia Graziela Costa Santos, Leonardo Scapin + 4 more
The large amount of existing textual data justifies the development of new text mining tools. Bioinformatics tools can be brought to Text Mining, increasing the arsenal of resources. Here, we present BIOTEXT, a package of strategies for converting natural language text into biological-like information data, providing a…
Jérôme Dockès, Kendra Oudyk, Mohammad Torabi, Alejandro I de la Vega + 1 more
Automated analysis of the biomedical literature (literature-mining) offers a rich source of insights. However, such analysis requires collecting a large number of articles and extracting and processing their content. This task is often prohibitively difficult and time-consuming. Here, we provide tools to easily…
Raul Rodriguez-Esteban, Fran Lewitter
Text mining tools are increasingly more accessible to biologists and computational biologists and these can often be applied to answer scientific questions in combination with other bioinformatics tools. Getting acquainted with them is a first step towards grasping the possibilities of text mining and towards venturing…
Wenke Xiao, Lijia Jing, Yaxin Xu, Shichao Zheng + 2 more
The amount of medical text data is increasing dramatically. Medical text data record the progress of medicine and imply a large amount of medical knowledge. As a natural language, they are characterized by semistructured, high-dimensional, high data volume semantics and cannot participate in arithmetic operations.…
Karan Uppal, Eva K. Lee
The rapidly increasing size of biomedical databases such as MEDLINE requires the use of intelligent data mining methods for information extraction and summarization. Existing biomedical text-mining tools have limited capabilities for inferring topological and network relationships between biomedical terms. Very often…
Joseph Manning, Lev Sarkisov
With the continuously growing number of scientific articles on synthesis of nanomaterials, it becomes impossible for researchers to grasp and comprehend the landscape of synthetic protocols available for a particular material. The aim of this study is to explore the feasibility of extracting the collective knowledge on…
Authors not listed
Iron, the most abundant element on Earth by mass (34.6%), primarily exists as iron minerals due to its inherent reactivity. The study of iron mineral phase transformations under changing environmental conditions remains an important research focus due to its geological, environmental, and industrial significance. Yet…
Authors not listed
The scarcity and expense of fatigue data limits optimal design of components and constrains companies to a few well qualified materials when safety-critical applications are concerned. This research investigates different strategies to improve extraction of structured information from unstructured scientific…
M. Zanin, D. Papo, P. A. Sousa, E. Menasalvas + 3 more
The increasing power of computer technology does not dispense with the need to extract meaningful in-formation out of data sets of ever growing size, and indeed typically exacerbates the complexity of this task. To tackle this general problem, two methods have emerged, at chronologically different times, that are now…
Pulan Yu
Associative classification mining (ACM) integrating association rule mining and classification has become a significant tool for knowledge discovery, especially in the chemical domain. Its major advantage is providing high accuracy as well as chemically interpretable models. Additionally, it is able to find…
Authors not listed
Artificial intelligence (AI) is reshaping scientific research by accelerating discovery and enabling the analysis of complex data that traditional methods struggle to handle. This review examines over 310,000 journal articles and patents from the CAS Content Collection (2015–2025), with a focus on, biomedical research…