Cluster analysis of twitter data: A review of algorithms
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 …
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
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 …
considered the issue of ambiguity that is associated with slangs, abbreviations, and …
Smart governance through opinion mining of public reactions on ordinances
This work focuses on the area of Smart Governance in Smart Cities, which entails
transparency in government through public involvement. Specifically, it describes our …
transparency in government through public involvement. Specifically, it describes our …
Map** ordinances and tweets using smart city characteristics to aid opinion mining
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 …
expressed on social media. We place particular emphasis on ordinances and tweets relating …
Consensus clustering of tweet networks via semantic and sentiment similarity estimation
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 …
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
This paper proposes an approach called TOLCS (Tweet Ordinance Linkage by
Commonsense and Semantics) which helps connect specific ordinances or local laws to …
Commonsense and Semantics) which helps connect specific ordinances or local laws to …
A data mining approach for biomarker discovery using transcriptomics in endometriosis
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 …
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
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 …
uses non-structured hashtags, which limits communication. In this work, we created a set of …
Geo-spatial clustering of sentiments on social media
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 …
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 …
emotions. With more than one-third of the global population expressing their thoughts …