Abusive Bangla comments detection on Facebook using transformer-based deep learning models
In the era of social networking platforms, user-generated content is flooding every second on
online social media platforms like Facebook. So observing and identifying many contents …
online social media platforms like Facebook. So observing and identifying many contents …
Bibliometric analysis of literature on social media trends during the COVID-19 pandemic
Purpose This study employs bibliometric analysis to map the research landscape of social
media trending topics during the COVID-19 pandemic. The authors aim to offer a …
media trending topics during the COVID-19 pandemic. The authors aim to offer a …
Reading comprehension based question answering system in Bangla language with transformer-based learning
Question answering (QA) system in any language is an assortment of mechanisms for
obtaining answers to user questions with various data compositions. Reading …
obtaining answers to user questions with various data compositions. Reading …
From facebook posts to news headlines: using transformer models to predict post-disaster impact on mass media content
Natural disasters leave scenes of devastation in their wake upon arrival. Sometimes, the
destruction is so prominent that reaching the area where the disaster happened becomes …
destruction is so prominent that reaching the area where the disaster happened becomes …
InstructNet: A novel approach for multi-label instruction classification through advanced deep learning
People use search engines for various topics and items, from daily essentials to more
aspirational and specialized objects. Therefore, search engines have taken over as people's …
aspirational and specialized objects. Therefore, search engines have taken over as people's …
Deep transformer-based architecture for the recognition of mathematical equations from real-world math problems
Identifying mathematical equations from real-world math problems presents a unique and
challenging task within the field of Natural Language Processing (NLP). It has a wide range …
challenging task within the field of Natural Language Processing (NLP). It has a wide range …
Progressive guidance categorization using transformer-based deep neural network architecture
In the era of advanced technology, the internet is one of the most indispensable necessities
in our daily liveliness. Usually, people search for various things on a search engine, from …
in our daily liveliness. Usually, people search for various things on a search engine, from …
Enhancing Sleep Disorder Diagnosis with a Machine Learning Approach Using Ensemble Neural Networks: Sleep Disorder Diagnosis with Ensemble Neural …
Sleep disorders, including conditions such as obstructive sleep apnea, significantly impact
the quality of life and pose serious health risks. Early detection and diagnosis are crucial for …
the quality of life and pose serious health risks. Early detection and diagnosis are crucial for …
RETRACTED: A user-based topic model with topical word embeddings for semantic modelling in social network
X Jin - Journal of Intelligent & Fuzzy Systems, 2022 - content.iospress.com
With the development of the Internet and mobile networks, social networks have gradually
become an essential tool and widespread application. Therefore, the research on short text …
become an essential tool and widespread application. Therefore, the research on short text …
Extracting Trending Topics from Social Media Posts Using Word Embedding Based Clustering
PS Mahalle, PN Chatur, AV Deorankar… - … in Computing and …, 2024 - taylorfrancis.com
With the ever-increasing volume of online textual data, the need to automatically identify and
track trending topics has become crucial for various applications, such as social media …
track trending topics has become crucial for various applications, such as social media …