A text mining-based thematic model for analyzing construction and demolition waste management studies

Z Ding, R Liu, H Yuan - Environmental Science and Pollution Research, 2021 - Springer
Over the years, numerous studies have been conducted to investigate construction and
demolition waste (CDW) management problems. However, the massive amount of literature …

A group recommender system for books based on fine-grained classification of comments

J Ye, H Xiong, J Guo, X Meng - The Electronic Library, 2023 - emerald.com
Purpose The purpose of this study is to investigate how book group recommendations can
be used as a meaningful way to suggest suitable books to users, given the increasing …

[PDF][PDF] JOURNAL OF NORTHEASTERN UNIVERSITY

MPB Gandhi, M Muddu Allaparthi… - Journal of Northeastern …, 2022 - dbdxxb.cn
Over half of Indians find gainful employment in agriculture, and this industry also makes a
sizable contribution to the country's GDP. However, Indian farmers face several challenges …

Key Applications and Optimization Strategies of Data Mining in Bank's Loyalty Rewards Mall

J Qu, H Li - Proceedings of the 2023 7th International Conference …, 2023 - dl.acm.org
The bank's loyalty rewards mall has drawn substantial attention as a key strategy to entice
and promote user engagement in today's competitive financial sector. However, given …

Text sentiment analysis of film reviews using Word2Vec-LSTM

L Li, Z Guan, F Xing - Third International Conference on …, 2024 - spiedigitallibrary.org
With the continuous development of the film industry, audience expectations and demands
are increasing. Film reviews, as crucial sources of feedback, play a significant role in the film …

Topic Analysis on User Generated Comments of Chinese Mainland Films

A Zhong, R Qiu - 2023 2nd International Conference on Social …, 2023 - atlantis-press.com
Online film commentary, which is an important channel for movie fans to express their
opinions and emotions, is extremely useful for movie research. In this study, we used topic …