Add to ORKGIncreasingly, sentiment analysis has proven to be invaluable in the past decade. Driven by the need to analyse the sentiment of large amounts of text data, a lot of development has been put into sentiment analysis. Ongoing efforts are still being put towards the creation of an automated process to produce a domain-specific corpus to support the sentiment analysis of the domain. This project explores the sentiment analysis of text in the financial domain, which is of particular interest as the sentiments of financial articles are deeply linked to the state of the current financial markets. For this project, the author investigated the techniques into the construction of a corpus and a semi-automated annotator to ease the said construction pr...
While most work in sentiment analysis in the financial domain has focused on the use of content from...
The growing stream of content placed on the Web provides a huge collection of textual resources. Peo...
abstract: This thesis studies the area of sentiment analysis and its general uses, benefits, and lim...
Increasingly, sentiment analysis has proven to be invaluable in the past decade. Driven by the need ...
Sentiments and beliefs play an important role in actions and decisions in a market environment; for ...
For as long as the stock market, financial news, and financial reports have been around, people have...
Today we seldom suffer from lack of information; on the contrary, we often suffer from too much info...
Public opinion, as measured by media sentiment, can be an important indicator in the financial and e...
Sentiment analysis is useful for multiple tasks including customer satisfaction metrics, identifying...
Sentiment Analysis is an extensively studied topic that is increasingly applied in financial appl...
An experimental platform is presented in the paper, which is used for the evaluation of various appr...
In this paper we describe our work in the area of topic-based sentiment analysis in the domain of fi...
In this thesis we use sentiment analysis, a classification task within the field of artificial intel...
In this thesis we use sentiment analysis, a classification task within the field of artificial intel...
With the recent availability and growing popularity of social media resources such as online news si...
While most work in sentiment analysis in the financial domain has focused on the use of content from...
The growing stream of content placed on the Web provides a huge collection of textual resources. Peo...
abstract: This thesis studies the area of sentiment analysis and its general uses, benefits, and lim...
Increasingly, sentiment analysis has proven to be invaluable in the past decade. Driven by the need ...
Sentiments and beliefs play an important role in actions and decisions in a market environment; for ...
For as long as the stock market, financial news, and financial reports have been around, people have...
Today we seldom suffer from lack of information; on the contrary, we often suffer from too much info...
Public opinion, as measured by media sentiment, can be an important indicator in the financial and e...
Sentiment analysis is useful for multiple tasks including customer satisfaction metrics, identifying...
Sentiment Analysis is an extensively studied topic that is increasingly applied in financial appl...
An experimental platform is presented in the paper, which is used for the evaluation of various appr...
In this paper we describe our work in the area of topic-based sentiment analysis in the domain of fi...
In this thesis we use sentiment analysis, a classification task within the field of artificial intel...
In this thesis we use sentiment analysis, a classification task within the field of artificial intel...
With the recent availability and growing popularity of social media resources such as online news si...
While most work in sentiment analysis in the financial domain has focused on the use of content from...
The growing stream of content placed on the Web provides a huge collection of textual resources. Peo...
abstract: This thesis studies the area of sentiment analysis and its general uses, benefits, and lim...