Cluster analysis of twitter data: A review of algorithms

KA Crockett, D Mclean, A Latham… - Proceedings of the 9th …, 2017 - e-space.mmu.ac.uk
Twitter, a microblogging online social network (OSN), has quickly gained prominence as it
provides people with the opportunity to communicate and share posts and topics …

A framework for pre-processing of social media feeds based on integrated local knowledge base

T Kolajo, O Daramola, A Adebiyi, A Seth - Information processing & …, 2020 - Elsevier
Most of the previous studies on the semantic analysis of social media feeds have not
considered the issue of ambiguity that is associated with slangs, abbreviations, and …

Smart governance through opinion mining of public reactions on ordinances

M Puri, A Varde, X Du, G De Melo - 2018 IEEE 30th …, 2018 - ieeexplore.ieee.org
This work focuses on the area of Smart Governance in Smart Cities, which entails
transparency in government through public involvement. Specifically, it describes our …

Map** ordinances and tweets using smart city characteristics to aid opinion mining

M Puri, X Du, AS Varde, G De Melo - … of the The Web Conference 2018, 2018 - dl.acm.org
This research focuses on mining ordinances (local laws) and public reactions to them
expressed on social media. We place particular emphasis on ordinances and tweets relating …

Consensus clustering of tweet networks via semantic and sentiment similarity estimation

R Harakawa, S Takimura, T Ogawa, M Haseyama… - IEEE …, 2019 - ieeexplore.ieee.org
Although Twitter has become an important source of information, the number of accessible
tweets is too large for users to easily find their desired information. To overcome this …

Pragmatics and semantics to connect specific local laws with public reactions

M Puri, AS Varde, B Dong - … Conference on Big Data (Big Data), 2018 - ieeexplore.ieee.org
This paper proposes an approach called TOLCS (Tweet Ordinance Linkage by
Commonsense and Semantics) which helps connect specific ordinances or local laws to …

A data mining approach for biomarker discovery using transcriptomics in endometriosis

S Akter, D Xu, SC Nagel, T Joshi - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Endometriosis is a complex and common gynecological disorder affecting 5-10% of
reproductive age women. Due to the lack of definitive diagnostic symptoms and expensive …

[HTML][HTML] Development and dissemination of structured hashtags for radiation oncology: Two-Year trends

A Baydoun, IJ Pereira, S Turner, S Siva… - Clinical and …, 2023 - Elsevier
Purpose For radiation oncology, social media is a favored communication platform, but it
uses non-structured hashtags, which limits communication. In this work, we created a set of …

Geo-spatial clustering of sentiments on social media

A Verma, A Chauhan, A Sinha - 2018 Fifth International …, 2018 - ieeexplore.ieee.org
Social networking sites have tremendously captured online communication over the social
web. With the growth in number of users on social networks, the social data has also grown …

Early Detection of Suicidal Predilection on Instagram Social Networking Service

KR Rohini, G Rajendran, V Arjun… - Machine Learning and …, 2020 - Springer
Social Networks has become the biggest medium of expression of one's thoughts and
emotions. With more than one-third of the global population expressing their thoughts …