Researchers and practitioners have attempted to predict the financial market by analyzing
textual (eg, news articles and social media) and numeric data (eg, hourly stock prices, and …

This survey focuses on deep learning-based aspect-level sentiment classification (ASC),
which aims to decide the sentiment polarity for an aspect mentioned within the document …

We propose a novel framework based on neural networks to identify the sentiment of
opinion targets in a comment/review. Our framework adopts multiple-attention mechanism to …

In this paper, we present the first deep learning approach to aspect extraction in opinion
mining. Aspect extraction is a subtask of sentiment analysis that consists in identifying …

Aspect extraction is an important and challenging task in aspect-based sentiment analysis.
Existing works tend to apply variants of topic models on this task. While fairly successful …

Lifelong Machine Learning, Second Edition is an introduction to an advanced machine
learning paradigm that continuously learns by accumulating past knowledge that it then …

With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

The field of sentiment analysis, in which sentiment is gathered, analyzed, and aggregated
from text, has seen a lot of attention in the last few years. The corresponding growth of the …

The goal of this research is to build a model to predict stock price movement using the
sentiment from social media. Unlike previous approaches where the overall moods or …

The task of aspect and opinion terms co-extraction aims to explicitly extract aspect terms
describing features of an entity and opinion terms expressing emotions from user-generated …