ArSentD-LEV: A Multi-Topic Corpus for Target-based Sentiment Analysis in Arabic Levantine Tweets.
Ramy BalyAlaa KhaddajHazem M. HajjWassim El-HajjKhaled Bashir ShabanPublished in: CoRR (2019)
Keyphrases
- sentiment analysis
- sentence level
- social media content
- document level
- topic tracking
- blog posts
- sentiment classification
- opinion mining
- text classification
- product reviews
- public opinion
- user generated
- topic specific
- positive or negative
- micro blog
- social media
- multi aspect
- opinion retrieval
- multi document summarization
- news articles
- text corpora
- text mining
- sentiment polarity
- natural language processing
- topic modeling
- user generated content
- named entities
- product features
- topic models
- artificial intelligence
- word pairs
- news stories
- knn
- feature selection
- databases