Journal ArticleDOI
Knowledge-Based Approaches to Concept-Level Sentiment Analysis
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TLDR
The guest editors introduce novel approaches to opinion mining and sentiment analysis that go beyond a mere word-level analysis of text and provide concept-level methods that allow a more efficient passage from (unstructured) textual information to machine-processable data, in potentially any domain.Abstract:
The guest editors introduce novel approaches to opinion mining and sentiment analysis that go beyond a mere word-level analysis of text and provide concept-level methods. Such approaches allow a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain.read more
Citations
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Proceedings ArticleDOI
Collaborative Knowledge Base Embedding for Recommender Systems
TL;DR: A heterogeneous network embedding method is adopted, termed as TransR, to extract items' structural representations by considering the heterogeneity of both nodes and relationships and a final integrated framework, which is termed as Collaborative Knowledge Base Embedding (CKE), to jointly learn the latent representations in collaborative filtering.
Proceedings ArticleDOI
Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis
TL;DR: A novel way of extracting features from short texts, based on the activation values of an inner layer of a deep convolutional neural network, is presented and a parallelizable decision-level data fusion method is presented, which is much faster, though slightly less accurate.
Journal ArticleDOI
A review of natural language processing techniques for opinion mining systems
Shiliang Sun,Chen Luo,Junyu Chen +2 more
TL;DR: This paper introduces general NLP techniques which are required for text preprocessing, and investigates the approaches of opinion mining for different levels and situations, and introduces comparative opinion mining and deep learning approaches for opinion mining.
Journal ArticleDOI
News impact on stock price return via sentiment analysis
TL;DR: Results show that at individual stock, sector and index levels, the models with sentiment analysis outperform the bag-of-words model in both validation set and independent testing set, and the models which use sentiment polarity cannot provide useful predictions.
Semantics-Aware Content-Based Recommender Systems.
TL;DR: This chapter presents a comprehensive survey of semantic representations of items and user profiles that attempt to overcome the main problems of the simpler approaches based on keywords and proposes a classification of semantic approaches into top-down and bottom-up.