Results 11 to 20 of about 2,935,368 (255)
Applications of text mining in services management: A systematic literature review
International Journal of Information Management Data Insights, 2021 The importance of text mining is increasing in services management as the access to big data is increasing across digital platforms enabling such services.
Sushil Kumar +2 more
exaly +2 more sources
Text Mining in Big Data Analytics
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 +2 more
exaly +2 more sources
Solar Energy, 2018 Text mining is an emerging topic that advances the review of academic literature. This paper presents a preliminary study on how to review solar irradiance and photovoltaic (PV) power forecasting (both topics combined as “solar forecasting” for short ...
Dazhi Yang +2 more
exaly +2 more sources
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2019 AbstractThe explosive growth of online education environments is generating a massive volume of data, specially in text format from forums, chats, social networks, assessments, essays, among others. It produces exciting challenges on how to mine text data in order to find useful knowledge for educational stakeholders.
Evandro DE BARROS COSTA +1 more
exaly +5 more sources
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining [PDF]
Briefings Bioinform., 2022 Pre-trained language models have attracted increasing attention in the biomedical domain, inspired by their great success in the general natural language domain. Among the two main branches of pre-trained language models in the general language domain, i.
Renqian Luo +6 more
semanticscholar +1 more source
ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis [PDF]
Journal of the American Chemical Society, 2023 We use prompt engineering to guide ChatGPT in the automation of text mining of metal–organic framework (MOF) synthesis conditions from diverse formats and styles of the scientific literature.
Zhiling Zheng +4 more
semanticscholar +1 more source
Does Synthetic Data Generation of LLMs Help Clinical Text Mining? [PDF]
arXiv.org, 2023 Recent advancements in large language models (LLMs) have led to the development of highly potent models like OpenAI's ChatGPT. These models have exhibited exceptional performance in a variety of tasks, such as question answering, essay composition, and ...
Ruixiang Tang +3 more
semanticscholar +1 more source
MatSciBERT: A materials domain language model for text mining and information extraction [PDF]
npj Computational Materials, 2021 A large amount of materials science knowledge is generated and stored as text published in peer-reviewed scientific literature. While recent developments in natural language processing, such as Bidirectional Encoder Representations from Transformers ...
Tanishq Gupta +3 more
semanticscholar +1 more source
BioBERT: a pre-trained biomedical language representation model for biomedical text mining [PDF]
Bioinform., 2019 Motivation Biomedical text mining is becoming increasingly important as the number of biomedical documents rapidly grows. With the progress in natural language processing (NLP), extracting valuable information from biomedical literature has gained ...
Jinhyuk Lee +6 more
semanticscholar +1 more source
, 2008 Most data mining methods assume that the data to be mined is represented in a structured relational database. However, in many applications, available electronic information is in the form of unstructured natural-language documents rather than structured databases. This tutorial will review machine learning methods for text mining.
Andrew B, Clegg, Adrian J, Shepherd
openaire +3 more sources