... Large language models Artificial intelligence Natural language processing Bibliometric analysis ADO framework TCCM framework Guangdong Basic and Applied Basic Research Foundation 2023A1515012817 Guangdong Philosophy and Social Science Research Foundation GD22CTS02 Teaching Quality...

... and the documents was used as the gold standard to evaluate the results relevance. Natural language processing NLP Information retrieval Comments Medical papers Similarity Relevance Novelty F1000 research F1000 prime Natural language processing (NLP)-based retrieval systems generally use...

... collection is built using the CITREC dataset. The data were analyzed using natural language processing (NLP) and opinion mining techniques. A linear model was developed to regress the objective and subjective content-based co-citation measures against the natural log of the co-citation frequency. Findings...

.../approach The authors construct the semantic graph using state-of-the-art natural language processing (NLP) techniques on COVID-19 publication texts (>100,000 texts). Next, the authors conduct an evolutionary analysis to capture the changes in COVID-19 research across time. Finally, the authors apply...

...Zehra Taskin; Umut Al Purpose With the recent developments in information technologies, natural language processing (NLP) practices have made tasks in many areas easier and more practical. Nowadays, especially when big data are used in most research, NLP provides fast and easy methods...

... to assist them in making decisions and to identify fraud. Design/methodology/approach The research extracted the recruitment information of normal and fraudulent companies separately from the internet by employing techniques of natural language processing, opinion mining and competitive intelligence...