Detection of depression-related posts in reddit social media forum
Depression is viewed as the largest contributor to global disability and a major reason for
suicide. It has an impact on the language usage reflected in the written text. The key …
suicide. It has an impact on the language usage reflected in the written text. The key …
[HTML][HTML] Detection of suicide ideation in social media forums using deep learning
Suicide ideation expressed in social media has an impact on language usage. Many at-risk
individuals use social forum platforms to discuss their problems or get access to information …
individuals use social forum platforms to discuss their problems or get access to information …
Ensemble hybrid learning methods for automated depression detection
Changes in human lifestyle have led to an increase in the number of people suffering from
depression over the past century. Although in recent years, rates of diagnosing mental …
depression over the past century. Although in recent years, rates of diagnosing mental …
Predicting depression symptoms in an Arabic psychological forum
Recently, social media platforms have been widely used as a communication tool on social
networks. Many users have utilized these platforms to reflect their personal lives. These …
networks. Many users have utilized these platforms to reflect their personal lives. These …
[PDF][PDF] Early Detection of Signs of Anorexia and Depression Over Social Media using Effective Machine Learning Frameworks.
The CLEF eRisk 2018 challenge focuses on early detection of signs of depression or
anorexia using posts or comments over social media. The eRisk lab has organized two tasks …
anorexia using posts or comments over social media. The eRisk lab has organized two tasks …
Stacked CNN-LSTM approach for prediction of suicidal ideation on social media
The growing use of social media forums to express suicidal ideation creates an immense
requirement for automatic recognition of suicidal posts. Individuals use social forums to …
requirement for automatic recognition of suicidal posts. Individuals use social forums to …
Identification of cyberbullying: A deep learning based multimodal approach
Cyberbullying can be delineated as a purposive and recurrent act, which is aggressive in
nature, done via different social media platforms such as Facebook, Twitter, Instagram and …
nature, done via different social media platforms such as Facebook, Twitter, Instagram and …
Early prediction for at-risk students in an introductory programming course based on student self-efficacy
Data Mining is a growing field, a strand of which is Educational data mining (EDM). EDM is
currently used to help institutions and students through creating accurate predictions that are …
currently used to help institutions and students through creating accurate predictions that are …
[HTML][HTML] A sentence classification framework to identify geometric errors in radiation therapy from relevant literature
T Basu, S Goldsworthy, GV Gkoutos - Information, 2021 - mdpi.com
The objective of systematic reviews is to address a research question by summarizing
relevant studies following a detailed, comprehensive, and transparent plan and search …
relevant studies following a detailed, comprehensive, and transparent plan and search …
Social networking sites data analysis using NLP and ML to predict depression
MT Hossain, MAR Talukder… - 2021 12th International …, 2021 - ieeexplore.ieee.org
Depression is an acute problem throughout the world, where more than 264 million people
are suffering from it. Due to worst and prolong depression near around 800000 people dies …
are suffering from it. Due to worst and prolong depression near around 800000 people dies …