DepressionOne@LT-EDI-ACL2022: Using Machine Learning with SMOTE and Random UnderSampling to Detect Signs of Depression on Social Media Text.
Suman DowlagarRadhika MamidiPublished in: LT-EDI (2022)
Keyphrases
- social media
- machine learning
- class imbalance
- text mining
- supervised machine learning
- user comments
- machine learning methods
- learning algorithm
- active learning
- complex background
- learning tasks
- detection algorithm
- class distribution
- text documents
- detection method
- data mining
- social networks
- computational linguistics
- information retrieval
- social media data
- majority class
- user generated content
- machine learning algorithms
- big data
- text classification
- natural language processing
- supervised learning
- decision trees
- feature selection
- minority class
- information extraction
- textual entailment
- social media content