Sentiment analysis of twitter data to detect and predict political leniency using natural language processing
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Intelligent Information Systems"
DOI: 10.1007/s10844-024-00842-3
Abstract: This paper analyses Twitter data to detect the political lean of a profile by extracting and classifying sentiments expressed through tweets. The work utilizes natural language processing, augmented with sentiment analysis algorithms and machine learning… read more here.
Keywords: processing; language; sentiment; twitter data ... See more keywords
Harnessing Twitter data to survey public attention and attitudes towards COVID-19 vaccines in the UK
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-02710-4
Abstract: Attitudes to COVID-19 vaccination vary considerably within and between countries. Although the contribution of socio-demographic factors to these attitudes has been studied, the role of social media and how it interacts with news about vaccine… read more here.
Keywords: data survey; public attention; survey public; attention attitudes ... See more keywords
Modelling rapid online cultural transmission: evaluating neutral models on Twitter data with approximate Bayesian computation
Sign Up to like & getrecommendations! Published in 2019 at "Palgrave Communications"
DOI: 10.1057/s41599-019-0295-9
Abstract: As social media technologies alter the variation, transmission and sorting of online information, short-term cultural evolution is transformed. In these media contexts, cultural evolution is an intra-generational process with much ‘horizontal’ transmission. As a pertinent… read more here.
Keywords: neutral models; information; transmission; twitter data ... See more keywords
Suicidal ideation prediction in twitter data using machine learning techniques
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Interdisciplinary Mathematics"
DOI: 10.1080/09720502.2020.1721674
Abstract: Abstract People prefer new technology by using online social media as a communication channels to express their suicidal thoughts. Primary identification and detection are viewed as an effective approach to avoid suicidal attempt and suicidal… read more here.
Keywords: ideation; detection; twitter data; suicidal ideation ... See more keywords
Risk perceptions and emotional stability in response to Cyclone Debbie: an analysis of Twitter data
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Risk Research"
DOI: 10.1080/13669877.2019.1673798
Abstract: Abstract In March 2017, a category 4 cyclone, ‘Cyclone Debbie’, made landfall across the Great Barrier Reef (GBR) region of Australia. Drawing on the social amplification of risk framework and the concept of emotional stability,… read more here.
Keywords: risk; twitter data; cyclone debbie; emotional stability ... See more keywords
The new normal: effects of COVID-19 on the activity patterns of Bangkok residents based on geotagged Twitter data
Sign Up to like & getrecommendations! Published in 2025 at "Cogent Social Sciences"
DOI: 10.1080/23311886.2025.2482114
Abstract: Abstract Geotagged Twitter data can be used to study the behavior of urban residents as they move to different places suited for various activities. In this study, geotagged Twitter data were used to explore the… read more here.
Keywords: geotagged twitter; patterns bangkok; new normal; activity patterns ... See more keywords
Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3242234
Abstract: On Twitter, COVID-19 is a highly discussed topic. People worldwide have used Twitter to express their viewpoints and feelings during the pandemic. Previous research has focused on particular topics such as the public’s sentiment during… read more here.
Keywords: machine learning; covid; analysis; sentiment analysis ... See more keywords
Deep Learning for Latent Events Forecasting in Content Caching Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2021.3096747
Abstract: A novel Twitter context aided content caching (TAC) framework is proposed for enhancing the caching efficiency by taking advantage of the legibility and massive volume of Twitter data. For the purpose of promoting the caching… read more here.
Keywords: latent events; content caching; events forecasting; approach ... See more keywords
Twitter data analysis using hadoop ecosystems and apache zeppelin
Sign Up to like & getrecommendations! Published in 2019 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v16.i3.pp1490-1498
Abstract: The day-to-day life of the people doesn't depend only on what they think, but it is affected and influenced by what others think. The advertisements and campaigns of the favourite celebrities and mesmerizing personalities influence… read more here.
Keywords: using hadoop; apache zeppelin; twitter data; data analysis ... See more keywords
Artificial Intelligence and Inclusion: Formerly Gang-Involved Youth as Domain Experts for Analyzing Unstructured Twitter Data
Sign Up to like & getrecommendations! Published in 2020 at "Social Science Computer Review"
DOI: 10.1177/0894439318788314
Abstract: Mining social media data for studying the human condition has created new and unique challenges. When analyzing social media data from marginalized communities, algorithms lack the ability to accurately interpret off-line context, which may lead… read more here.
Keywords: twitter data; formerly gang; domain experts; involved youth ... See more keywords
Scaling laws in geo-located Twitter data
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0218454
Abstract: Twitter has become an important platform for geo-spatial analyses, providing high-volume spatial data on a wide variety of social processes. Understanding the relationship between population density and Twitter activity is therefore of key importance. This… read more here.
Keywords: population density; twitter data; scaling laws; twitter ... See more keywords