TOTEMSS: Topic-based, Temporal Sentiment Summarisation for Twitter.
Bo WangMaria LiakataAdam TsakalidisSpiros Georgakopoulos KolaitisSymeon PapadopoulosLazaros ApostolidisArkaitz ZubiagaRob ProcterYiannis KompatsiarisPublished in: IJCNLP (System Demonstrations) (2017)
Keyphrases
- public opinion
- sentiment analysis
- emerging topics
- sentiment classification
- polarity classification
- topic detection
- influence propagation
- social media
- hot topics
- microblog posts
- social networks
- opinion mining
- social media content
- document level
- product reviews
- spatio temporal
- topic specific
- social media data
- sentiment polarity
- temporal reasoning
- temporal information
- text classification
- news stories
- user generated content
- positive or negative
- online social networks
- temporal databases
- real world events
- spatial and temporal
- sentence level
- topic modeling
- temporal data
- temporal relations
- micro blog
- opinion summarization
- online social media
- news media
- temporal patterns
- opinion retrieval
- topic models
- sentiment lexicon
- query biased
- news articles
- temporal constraints
- recommender systems
- free text