Recent developments in smart city assessment: A bibliometric and content analysis-based literature review
P Hajek, A Youssef, V Hajkova - Cities, 2022 - Elsevier
Cities around the world are increasingly competing to upgrade their infrastructure and
smartness levels to attract talent, become more effective and sustainable. However …
smartness levels to attract talent, become more effective and sustainable. However …
The state-of-the-art in Twitter sentiment analysis: A review and benchmark evaluation
Twitter has emerged as a major social media platform and generated great interest from
sentiment analysis researchers. Despite this attention, state-of-the-art Twitter sentiment …
sentiment analysis researchers. Despite this attention, state-of-the-art Twitter sentiment …
Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …
data discovery, and finding relationships among data and text documents. Researchers …
Attitude of Chinese public towards municipal solid waste sorting policy: A text mining study
Z Wu, Y Zhang, Q Chen, H Wang - Science of the total environment, 2021 - Elsevier
With the acceleration of urban development, the amount of municipal solid waste (MSW) has
increased dramatically. In order to recycle MSW more efficiently, a compulsory policy of …
increased dramatically. In order to recycle MSW more efficiently, a compulsory policy of …
Fuzzy rule based unsupervised sentiment analysis from social media posts
In this paper, we compute the sentiment of social media posts using a novel set of fuzzy
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
rules involving multiple lexicons and datasets. The proposed fuzzy system integrates Natural …
Analytical map** of opinion mining and sentiment analysis research during 2000–2015
The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
content on the Web resulting into a huge volume of unstructured data. A substantial part of …
Ensemble machine learning models for aviation incident risk prediction
With the spectacular growth of air traffic demand expected over the next two decades, the
safety of the air transportation system is of increasing concern. In this paper, we facilitate the …
safety of the air transportation system is of increasing concern. In this paper, we facilitate the …
Machine learning based customer sentiment analysis for recommending shoppers, shops based on customers' review
S Yi, X Liu - Complex & Intelligent Systems, 2020 - Springer
Big data analytics plays a major role in various industries using computing applications such
as E-commerce and real-time shop**. Big data are used for promoting products and …
as E-commerce and real-time shop**. Big data are used for promoting products and …
Rating prediction based on social sentiment from textual reviews
In recent years, we have witnessed a flourish of review websites. It presents a great
opportunity to share our viewpoints for various products we purchase. However, we face an …
opportunity to share our viewpoints for various products we purchase. However, we face an …
Cross-platform identification of anonymous identical users in multiple social media networks
The last few years have witnessed the emergence and evolution of a vibrant research
stream on a large variety of online social media network (SMN) platforms. Recognizing …
stream on a large variety of online social media network (SMN) platforms. Recognizing …