Sentiment Analysis on Twitter to Improve Time Series Contextual Anomaly Detection for Detecting Stock Market Manipulation.
Koosha GolmohammadiOsmar R. ZaïanePublished in: DaWaK (2017)
Keyphrases
- stock market
- anomaly detection
- sentiment analysis
- detecting anomalies
- detect anomalies
- detecting anomalous
- opinion mining
- stock market data
- stock price
- sentiment classification
- intrusion detection
- financial time series
- social media content
- public opinion
- short term
- text classification
- network intrusion detection
- social media
- financial data
- network traffic
- one class support vector machines
- anomalous behavior
- garch model
- sentence level
- stock trading
- text mining
- micro blog
- misuse detection
- novelty detection
- intrusion detection system
- stock data
- product reviews
- databases
- non stationary
- unsupervised learning
- long term
- social networks
- information retrieval