TBCOV: Two Billion Multilingual COVID-19 Tweets with Sentiment, Entity, Geo, and Gender Labels.
Muhammad ImranUmair QaziFerda OfliPublished in: Data (2022)
Keyphrases
- named entities
- sentiment analysis
- geo location
- social media
- social media data
- geographic information
- topic specific
- opinion mining
- digital libraries
- multi label
- pairwise
- natural language processing
- sentiment classification
- entity identification
- cross lingual
- news articles
- class labels
- cross language information retrieval
- positive or negative
- social media content
- positive and negative
- information extraction
- text mining
- cross language
- knowledge base
- training data
- co occurrence
- question answering
- text classification
- individual differences
- topic detection
- short text
- micro blogging
- public opinion
- spatial data
- language resources
- online social media
- language independent
- text documents
- social networking