A systematic review of the use of topic models for short text social media analysis
Recently, research on short text topic models has addressed the challenges of social media
datasets. These models are typically evaluated using automated measures. However, recent …
datasets. These models are typically evaluated using automated measures. However, recent …
Log mining to re-construct system behavior: An exploratory study on a large telescope system
Context A large amount of information about system behavior is stored in logs that record
system changes. Such information can be exploited to discover anomalies of a system and …
system changes. Such information can be exploited to discover anomalies of a system and …
Unsupervised tweets categorization using semantic and statistical features
Clustering is one of the widely used techniques in information retrieval. This experiment
intends to categorize Tweets (based on their content) as representative of social media/user …
intends to categorize Tweets (based on their content) as representative of social media/user …
Exploring the nexus between food and veg* n lifestyle via text mining-based online community analytics
R Yoo, SY Kim, DH Kim, J Kim, YJ Jeon… - Food Quality and …, 2023 - Elsevier
Attention towards veg* nism is increasing as the impact of food choices on health and
sustainability as well as ethical concerns regarding animal welfare emerge. Although online …
sustainability as well as ethical concerns regarding animal welfare emerge. Although online …
Investigating topic modeling techniques through evaluation of topics discovered in short texts data across diverse domains
R Muthusami, N Mani Kandan, K Saritha… - Scientific Reports, 2024 - nature.com
The online channel has affected many facets of an individual's identity, commercial, social
policy, and culture, among others. It implies that discovering the topics on which these brief …
policy, and culture, among others. It implies that discovering the topics on which these brief …
Mining multilingual and multiscript Twitter data: unleashing the language and script barrier
B Sarkar, N Sinhababu, M Roy… - … and Data Mining, 2020 - inderscienceonline.com
Micro-blogging sites like Twitter have become an opinion hub where views on diverse topics
are expressed. Interpreting, comprehending and analysing this emotion-rich information can …
are expressed. Interpreting, comprehending and analysing this emotion-rich information can …
A proposed method for quality evaluation of COVID-19 reusable face mask
During the time of COVID-19, the use of face masks has become an essential control and
prevention measure. The wide usage of disposable face masks has presented a great …
prevention measure. The wide usage of disposable face masks has presented a great …
Sensitive keyword extraction based on cyber keywords and LDA in Twitter to avoid regrets
R Geetha, S Karthika - Computational Intelligence in Data Science: Third …, 2020 - Springer
Twitter is the most popular social platform where common people reflect their personal,
political and business views that obliquely build an active online repository. The data …
political and business views that obliquely build an active online repository. The data …
The COVID-19 response in North America
S Yum - Disaster Medicine and Public Health Preparedness, 2023 - cambridge.org
In our Information Technology (IT) based societies, social media plays an important role in
communications and social networks for COVID-19. This study explores social responses for …
communications and social networks for COVID-19. This study explores social responses for …
Utilizing twitter data for identifying and resolving runtime business process disruptions
A Ayoub, A Elgammal - On the Move to Meaningful Internet Systems. OTM …, 2018 - Springer
The advent of web 2.0 technologies represents a paradigm shift in how individuals
collaborate in their businesses and daily lives. Web 2.0 opens new opportunities for …
collaborate in their businesses and daily lives. Web 2.0 opens new opportunities for …