Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Sentiment analysis of Chinese online reviews using ensemble learning framework
Sentiment classification: The contribution of ensemble learning
A Multi-Layer Neural Network Model Integrating BiLSTM and CNN for Chinese Sentiment Recognition
An Approach Based on Tree Kernels for Opinion Mining of Online Product Reviews
Multimodal Bag-of-Words for Cross Domains Sentiment Analysis
BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis
A holistic model of mining product aspects and associated sentiments from online reviews
Bootstrap Domain-Specific Sentiment Classifiers from Unlabeled Corpora
Sentiment Analysis of Restaurant Reviews on Yelp with Incremental Learning
Combining lexicon and learning based approaches for concept-level sentiment analysis
A semi-supervised approach to sentiment analysis using revised sentiment strength based on SentiWordNet
Aspect based Sentiment Analysis using support vector machine classifier
Big data and sentiment analysis using KNIME: Online reviews vs. social media
Sentiment analysis of movie reviews on discussion boards using a linguistic approach
A Study on Sentiment Computing and Classification of Sina Weibo with Word2vec
BooViews : Aspect-based Sentiment Analysis on Product Reviews combining SVM and CRF in Portuguese
Finding Implicit Features in Consumer Reviews for Sentiment Analysis
Twitter as a Corpus for Sentiment Analysis and Opinion Mining
A Study on Techniques and Architecture of Sentiment Analysis
Comparing and combining sentiment analysis methods
Weakly-Supervised Deep Embedding for Product Review Sentiment Analysis
Resolution of Verb Ellipsis in Japanese Sentence using Surface Expressions and Examples
Measuring the three-phase contact angle of nanoparticles at fluid interfaces
An investigation into Facebook friend grouping
unsupervised learning of semantic orientation from a hundred - billion - word corpus .
Feature-driven visual analytics of soccer data