Over a decade of social opinion mining: a systematic review
Social media popularity and importance is on the increase due to people using it for various
types of social interaction across multiple channels. This systematic review focuses on the …
types of social interaction across multiple channels. This systematic review focuses on the …
Measuring Behavior Change with Observational Studies: a Review
Exploring behavioral change in the digital age is imperative for societal progress in the
context of 21st-century challenges. We analyzed 148 articles (2000-2023) and built a map …
context of 21st-century challenges. We analyzed 148 articles (2000-2023) and built a map …
Social media as passive geo-participation in transportation planning–how effective are topic modeling & sentiment analysis in comparison with citizen surveys?
We live in an era of rapid urbanization as many cities are experiencing an unprecedented
rate of population growth and congestion. Public transport is playing an increasingly …
rate of population growth and congestion. Public transport is playing an increasingly …
Face off: Polarized public opinions on personal face mask usage during the COVID-19 pandemic
In spite of a growing body of scientific evidence on the effectiveness of individual face mask
usage for reducing transmission rates [1], individual face mask usage has become a highly …
usage for reducing transmission rates [1], individual face mask usage has become a highly …
Service failure monitoring via multivariate multiple linear regression profile schemes with dimensionality reduction
T Zhang, GA Wang, Z He, A Mukherjee - Decision Support Systems, 2024 - Elsevier
Abstract Service failures can be manifested through customer complaints in the form of
negative reviews. It is vital for businesses to monitor the occurrence and severity of customer …
negative reviews. It is vital for businesses to monitor the occurrence and severity of customer …
Joint monitoring of post-sales online review processes based on a distribution-free EWMA scheme
T Zhang, Z He, X Zhao, L Qu - Computers & Industrial Engineering, 2021 - Elsevier
With the booming of online shopping, the post-sales online review process becomes a
crucial activity in product life cycle management, as it provides abundant user-generated …
crucial activity in product life cycle management, as it provides abundant user-generated …
Change point detection in terrorism-related online content using deep learning derived indicators
Given the increasing occurrence of deviant activities in online platforms, it is of paramount
importance to develop methods and tools that allow in-depth analysis and understanding to …
importance to develop methods and tools that allow in-depth analysis and understanding to …
Monitoring negative sentiment scores and time between customer complaints via one-sided distribution-free EWMA schemes
T Zhang, Z He, A Mukherjee - Computers & Industrial Engineering, 2023 - Elsevier
Customer complaints about a product or service can be evaluated using the sentiment
intensity (S) and time interval (T) of negative reviews. Previous control chart-based research …
intensity (S) and time interval (T) of negative reviews. Previous control chart-based research …
An adaptive clustering and classification algorithm for Twitter data streaming in Apache Spark
On-going big data from social networks sites alike Twitter or Facebook has been an
entrancing hotspot for investigation by researchers in current decades as a result of various …
entrancing hotspot for investigation by researchers in current decades as a result of various …
Associations between emotions expressed in internet news and subsequent emotional content on twitter
E Mayor, M Miché, R Lieb - Heliyon, 2022 - cell.com
We report on the first investigation of large-scale temporal associations between emotions
expressed in online news media and those expressed on social media (Twitter). This issue …
expressed in online news media and those expressed on social media (Twitter). This issue …