identify the emerging research trends related to urban just transition by using LDA. Based on the socio …

, employing analysis techniques including text mining and LDA topic modeling. Design/methodology/approach: In order to achieve the … aforementioned objectives, the current study has employed the R program for the analysis (e.g., TF, tf-idf, correlation, and LDA) of …, hospi-tals). The LDA identified three topics: the implications for food waste produced by the workplace, recent equipment …

-short term memory (LDA-LSTM) to overcome the limitations of conventional evaluation methods. The main contributions include four … aspects. First, the LDA-LSTM model can extract comprehensive aspects and opinions to develop evaluation indexes and scores for …. Second, the LDA-LSTM model can handle a situation in which several aspects and opinions express one topic or sentiment, and …

, employing analysis techniques including text mining and LDA topic modeling. Design/methodology/approach: In order to achieve the … aforementioned objectives, the current study has employed the R program for the analysis (e.g., TF, tf-idf, correlation, and LDA) of …, hospi-tals). The LDA identified three topics: the implications for food waste produced by the workplace, recent equipment …