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 …

Financial Sentiment Analysis (FSA) is an important domain application of sentiment analysis
that has gained increasing attention in the past decade. FSA research falls into two main …

Emotions and sentiments are subjective in nature. They differ on a case-to-case basis.
However, predicting only the emotion and sentiment does not always convey complete …

The use of robo‐readers to analyze news texts is an emerging technology trend in
computational finance. Recent research has developed sophisticated financial polarity …

In the past years we have witnessed Sentiment Analysis and Opinion Mining becoming
increasingly popular topics in Information Retrieval and Web data analysis. With the rapid …

User-generated reviews on the Web reflect users' sentiment about products, services and
social events. Existing researches mostly focus on the sentiment classification of the product …

Microblogs as a new textual domain offer a unique proposition for sentiment analysis. Their
short document length suggests any sentiment they contain is compact and explicit …

User-generated content (UGC) is becoming increasingly available on social media for a
wide range of products and services. Such UGC contains rich information about customer …

Recent advances in machine learning have led to computer systems that are humanlike in
behavior. Sentiment analysis, the automatic determination of emotions in text, is allowing us …

This paper focuses on topic-specific and more specifically company-specific sentiment
analysis in financial newswire text. This application is of great use to researchers in the …