Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: SenticNet 5: Discovering Conceptual Primitives for Sentiment Analysis by Means of Context Embeddings
SenticNet 4: A Semantic Resource for Sentiment Analysis Based on Conceptual Primitives
SentiSense: An easily scalable concept-based affective lexicon for sentiment analysis
Context-aware Sentiment Word Identification: sentiword2vec
Clause sentiment identification based on convolutional neural network with context embedding
Improving the Accuracy of Pre-trained Word Embeddings for Sentiment Analysis
Learning Sentiment-Specific Word Embedding via Global Sentiment Representation
Modeling Rich Contexts for Sentiment Classification with LSTM
Contextual semantics for sentiment analysis of Twitter
SenticSpace: visualizing opinions and sentiments in a multi-dimensional vector space
The CLSA Model: A Novel Framework for Concept-Level Sentiment Analysis
Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification
OntoSenticNet: A Commonsense Ontology for Sentiment Analysis
A context-based model for Sentiment Analysis in Twitter
Domain Adapted Word Embeddings for Improved Sentiment Classification
Document-level Sentiment Inference with Social, Faction, and Discourse Context
Context-sensitive Twitter sentiment classification using neural network
Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet
Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings
SentiCircles for contextual and conceptual semantic sentiment analysis of Twitter
Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM
Thorax disease diagnosis using deep convolutional neural network.
Harnessing Context Incongruity for Sarcasm Detection
Panoramic video stitching from commodity HDTV cameras
On the Security and Privacy of Internet of Things Architectures and Systems
Reconfigurable Antenna With Elevation and Azimuth Beam Switching