Big data analytics for critical information classification in online social networks using classifier chains

DH Silva, EG Maziero, M Saadi, RL Rosa… - Peer-to-Peer Networking …, 2022 - Springer
Industrial and academic organizations are using online social network (OSN) for different
purposes, such as social and economic aspects. Now, OSN is a new mean of obtaining …

[HTML][HTML] Sentiment analysis of COVID-19 social media data through machine learning

D Dangi, DK Dixit, A Bhagat - Multimedia tools and applications, 2022 - Springer
Pandemics are a severe threat to lives in the universe and our universe encounters several
pandemics till now. COVID-19 is one of them, which is a viral infectious disease that …

[HTML][HTML] A high-performance model based on ensembles for twitter sentiment classification

R Asgarnezhad, A Monadjemi… - Journal of Electrical and …, 2020 - jecei.sru.ac.ir
Background and Objectives: Twitter Sentiment Classification is one of the most popular
fields in information retrieval and text mining. Millions of people of the world intensity use …

Evaluating twitter data to discover user's perception about social Internet of Things

A Meena Kowshalya, ML Valarmathi - Wireless Personal Communications, 2018 - Springer
Abstract Social Internet of Things (SIoT) is a young paradigm that integrates Internet of
Things and Social Networks. Social Internet of Things is defined as a social network of …

[HTML][HTML] A reliable sentiment analysis for classification of tweets in social networks

M AminiMotlagh, HS Shahhoseini, N Fatehi - Social network analysis and …, 2022 - Springer
In modern society, the use of social networks is more than ever and they have become the
most popular medium for daily communications. Twitter is a social network where users are …

For better and quicker understanding of how users feel: an optimized sentiment classification model for long comments on social networks

Z Quan, L Pu - Multimedia Tools and Applications, 2024 - Springer
It seems beneficial to systematically and massively analyze postings on social networks to
capture people's feelings, opinions and attitudes. Sentiment analysis, thus, is of increasing …

[PDF][PDF] An Ensemble Model using a BabelNet Enriched Document Space for Twitter Sentiment Classification

S Sevim, Sİ Omurca, E Ekinci - International Journal of Information …, 2018 - researchgate.net
With the widespread usage of social media in our daily lives, user reviews emerged as an
impactful factor for numerous fields including understanding consumer attitudes …

[HTML][HTML] Developing a supervised learning-based social media business sentiment index

H Lee, N Lee, H Seo, M Song - The Journal of Supercomputing, 2020 - Springer
The fast-growing digital data generation leads to the emergence of the era of big data, which
become particularly more valuable because approximately 70% of the collected data in the …

Social network analysis: transforming a black and white approach into a grey approach using fuzzy logic system

Y Madani, M Erritali, J Bengourram… - Journal of Information …, 2020 - igi-global.com
Sentiment analysis has become an important field in scientific research in recent years. The
goal is to extract opinions and sentiments from written text using artificial intelligence …

[PDF][PDF] Performance analysis of the recent role of OMSA approaches in Online Social Networks

JA Kumar, S Abirami, S Murugappan - SAI-2014, 2014 - Citeseer
In this emerging trend, it is necessary to understand the recent developments taking place in
the field of opinion mining and sentiment analysis (OMSA) as part of text mining in social …