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Antisocial behavior identification from twitter feeds using traditional machine learning algorithms and deep learning
Antisocial behavior (ASB) is one of the ten personality disorders included in 'The Diagnostic
and Statistical Manual of Mental Disorders (DSM-5) and falls in the same cluster as …
and Statistical Manual of Mental Disorders (DSM-5) and falls in the same cluster as …
Prediction and classification of user activities using machine learning models from location-based social network data
The current research has aimed to investigate and develop machine-learning approaches
by using the data in the dataset to be applied to classify location-based social network data …
by using the data in the dataset to be applied to classify location-based social network data …
Investigation of social behaviour patterns using location-based data-a Melbourne case study
Location-based social networks such as Swarm provide a rich source of information on
human behaviour and urban functions. Our analysis of data created by users who voluntarily …
human behaviour and urban functions. Our analysis of data created by users who voluntarily …
A framework for early detection of antisocial behavior on Twitter using natural language processing
Online antisocial behavior is a social problem and a public health threat. A manifestation of
such behavior may be fun for a perpetrator, however, can drive a victim into depression, self …
such behavior may be fun for a perpetrator, however, can drive a victim into depression, self …
Location-based social network's data analysis and spatio-temporal modeling for the mega city of Shanghai, China
The aim of the current study is to analyze and extract the useful patterns from Location-
Based Social Network (LBSN) data in Shanghai, China, using different temporal and spatial …
Based Social Network (LBSN) data in Shanghai, China, using different temporal and spatial …
A study of user activity patterns and the effect of venue types on city dynamics using location-based social network data
The main purpose of this research is to study the effect of various types of venues on the
density distribution of residents and model check-in data from a Location-Based Social …
density distribution of residents and model check-in data from a Location-Based Social …
Antisocial behaviour analyses using deep learning
Online antisocial behaviour is a social problem and a public health threat. It is one of the ten
personality disorders and entails a permeating pattern of violation of the rights of others, and …
personality disorders and entails a permeating pattern of violation of the rights of others, and …
Spatiotemporal analysis of residents in shanghai by utilizing Chinese microblog Weibo data
Mobile applications are really important nowadays due to providing the accurate check‐in
data for research. The primary goal of the study is to look into the impact of several forms of …
data for research. The primary goal of the study is to look into the impact of several forms of …
Deep learning for antisocial behaviour analysis on social media
Social Media platforms have become an imperative source of information related to urban
functions and social behaviour. Analysis of social media data can provide meaningful …
functions and social behaviour. Analysis of social media data can provide meaningful …
Optimizing Concrete Characteristics by Integrating Bamboo Fiber and M-sand as Alternatives to Natural Sand for Improvise Performance in Structure-A Review
M Lodhi, A Singhai - International Journal of Science …, 2024 - ejournal.rems.co.in
In the contemporary construction industry, concrete is indispensable, with advancements in
its components such as high-quality cement and coarse aggregates. Sand, a key ingredient …
its components such as high-quality cement and coarse aggregates. Sand, a key ingredient …