Automatic short text summarization techniques in social media platforms
FA Ghanem, MC Padma, R Alkhatib - Future Internet, 2023 - mdpi.com
The rapid expansion of social media platforms has resulted in an unprecedented surge of
short text content being generated on a daily basis. Extracting valuable insights and patterns …
short text content being generated on a daily basis. Extracting valuable insights and patterns …
Unsupervised social event detection via hybrid graph contrastive learning and reinforced incremental clustering
Detecting events from social media data streams is gradually attracting researchers. The
innate challenge for detecting events is to extract discriminative information from social …
innate challenge for detecting events is to extract discriminative information from social …
OntoDSumm: ontology-based tweet summarization for disaster events
PK Garg, R Chakraborty… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The huge popularity of social media platforms, such as Twitter, attracts a large fraction of
users to share real-time information and short situational messages during disasters. A …
users to share real-time information and short situational messages during disasters. A …
Extracting the full story: A multimodal approach and dataset to crisis summarization in tweets
In our digitally connected world, the influx of microblog data poses a formidable challenge in
extracting relevant information amid a continuous stream of updates. This challenge …
extracting relevant information amid a continuous stream of updates. This challenge …
PORTRAIT: a hybrid aPproach tO cReate extractive ground-TRuth summAry for dIsaster evenT
Nowadays, Twitter is an important source of information and latest updates during ongoing
events, such as disaster events. However, the huge number of tweets posted during a …
events, such as disaster events. However, the huge number of tweets posted during a …
Endsum: Entropy and diversity based disaster tweet summarization
The huge amount of information shared in Twitter during disaster events are utilized by
government agencies and humanitarian organizations to ensure quick crisis response and …
government agencies and humanitarian organizations to ensure quick crisis response and …
HatEmoTweet: Low-level emotion classifications and spatiotemporal trends of hate and offensive COVID-19 tweets
Social media platforms (like Twitter) positively and negatively impact users in diverse
societies; one of Twitter's negative effects is the usage of hate and offensive language. Hate …
societies; one of Twitter's negative effects is the usage of hate and offensive language. Hate …
Complex event summarization using multi-social attribute correlation
Complex social event summarization is a problem which has been shown having great utility
for real-world applications, including crisis management, rumor control and government …
for real-world applications, including crisis management, rumor control and government …
[PDF][PDF] Ontorealsumm: Ontology based real-time tweet summarization
arxiv:2201.06545v1 [cs.SI] 17 Jan 2022 Page 1 arxiv:2201.06545v1 [cs.SI] 17 Jan 2022
OntoRealSumm : Ontology based Real-Time Tweet Summarization PIYUSH KUMAR GARG …
OntoRealSumm : Ontology based Real-Time Tweet Summarization PIYUSH KUMAR GARG …
Exploratory analysis on the natural language processing models for task specific purposes
G Shidaganti, R Shetty, T Edara, P Srinivas… - Bulletin of Electrical …, 2024 - beei.org
Natural language processing (NLP) is a technology that has become widespread in the area
of human language understanding and analysis. A range of text processing tasks such as …
of human language understanding and analysis. A range of text processing tasks such as …