Sentiment topic sarcasm mixture model to distinguish sarcasm prevalent topics based on the sentiment bearing words in the tweets.
K. NimalaR. JebakumarM. SaravananPublished in: J. Ambient Intell. Humaniz. Comput. (2021)
Keyphrases
- mixture model
- topic specific
- sentiment polarity
- sentiment analysis
- short texts
- topic detection
- topic modeling
- sentiment classification
- short text
- blog posts
- opinion mining
- document level
- em algorithm
- latent topics
- topic models
- generative model
- public opinion
- gaussian mixture model
- probabilistic model
- language model
- density estimation
- opinion retrieval
- latent dirichlet allocation
- keywords
- social media
- product reviews
- expectation maximization
- statistical topic models
- model selection
- text classification
- topic hierarchy
- sentence level
- unsupervised learning
- mixture modeling
- text documents
- text mining
- twitter posts
- news articles
- information retrieval
- document collections
- training set
- object recognition
- training data