Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Dynamic Joint Sentiment-Topic Model
Continuous Time Dynamic Topic Models
TM-LDA: efficient online modeling of latent topic transitions in social media
A context-based model for Sentiment Analysis in Twitter
Identifying Objective and Subjective Words via Topic Modeling
A model for sentiment and emotion analysis of unstructured social media text
A Survey of Topic Modeling in Text Mining
Twitter brand sentiment analysis: A hybrid system using n-gram analysis and dynamic artificial neural network
The Evolution of Sentiment Analysis - A Review of Research Topics, Venues, and Top Cited Papers
Parsimonious Topic Models with Salient Word Discovery
Analyzing entities and topics in news articles using statistical topic models
A Correlated Topic Model Using Word Embeddings
A joint segmentation and classification framework for sentence level sentiment classification
Joint latent topic models for text and citations
Meta-level sentiment models for big social data analysis
VADER: A Parsimonious Rule-Based Model for Sentiment Analysis of Social Media Text
Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)
Topic Segmentation with a Structured Topic Model
A roadmap of sentiment analysis and its research directions
Semi-supervised Multi-Label Topic Models for Document Classification and Sentence Labeling
Latent Dirichlet Markov Allocation for Sentiment Analysis
Fetal anemia and heart rate patterns
Green tea supplementation affects body weight, lipids, and lipid peroxidation in obese subjects with metabolic syndrome.
HashNet: Deep Learning to Hash by Continuation
Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques
ABAC and RBAC: Scalable, Flexible, and Auditable Access Management