[HTML][HTML] A systematic review of social media-based sentiment analysis: Emerging trends and challenges
In the present information age, a wide and significant variety of social media platforms have
been developed and become an important part of modern life. Massive amounts of user …
been developed and become an important part of modern life. Massive amounts of user …
The emergence of social media data and sentiment analysis in election prediction
This work presents and assesses the power of various volumetric, sentiment, and social
network approaches to predict crucial decisions from online social media platforms. The …
network approaches to predict crucial decisions from online social media platforms. The …
Cyberbullying severity detection: A machine learning approach
BA Talpur, D O'Sullivan - PloS one, 2020 - journals.plos.org
With widespread usage of online social networks and its popularity, social networking
platforms have given us incalculable opportunities than ever before, and its benefits are …
platforms have given us incalculable opportunities than ever before, and its benefits are …
Latent semantic scaling: A semisupervised text analysis technique for new domains and languages
K Watanabe - Communication Methods and Measures, 2021 - Taylor & Francis
Many social scientists recognize that quantitative text analysis is a useful research
methodology, but its application is still concentrated in documents written in European …
methodology, but its application is still concentrated in documents written in European …
Learning political polarization on social media using neural networks
Social media analysis is a fast growing research area aimed at extracting useful information
from social media platforms. This paper presents a methodology, called IOM-NN (Iterative …
from social media platforms. This paper presents a methodology, called IOM-NN (Iterative …
Recurrent neural networks with TF-IDF embedding technique for detection and classification in tweets of dengue disease
With the increased usage of Web 2.0 and data-affluent tools such as social media platforms
and web blog services, the challenge of extracting public sentiment and disseminating …
and web blog services, the challenge of extracting public sentiment and disseminating …
Facebook versus Twitter: Differences in self-disclosure and trait prediction
This study compares self-disclosure on Facebook and Twitter through the lens of
demographic and psychological traits. Predictive evaluation reveals that language models …
demographic and psychological traits. Predictive evaluation reveals that language models …
Analyzing political polarization on social media by deleting bot spamming
Social media platforms are part of everyday life, allowing the interconnection of people
around the world in large discussion groups relating to every topic, including important …
around the world in large discussion groups relating to every topic, including important …
Mitigating demographic bias of machine learning models on social media
Y Wang, L Singh - Proceedings of the 3rd ACM Conference on Equity …, 2023 - dl.acm.org
Social media posts have been used to predict different user behaviors and attitudes,
including mental health condition, political affiliation, and vaccine hesitancy. Unfortunately …
including mental health condition, political affiliation, and vaccine hesitancy. Unfortunately …
Evolving linguistic divergence on polarizing social media
Abstract Language change is influenced by many factors, but often starts from synchronic
variation, where multiple linguistic patterns or forms coexist, or where different speech …
variation, where multiple linguistic patterns or forms coexist, or where different speech …