Sentiment analysis has been widely used in the domain of finance. There are two most common textual sentiment analysis methods in finance: \textit{dictionary-based approach} and \textit{machine learning approach}. The dictionary-based method is the most convenient and efficient method to extract sentiments from the text, but the words in the dictionary are limited and cannot capture the full scope of a particular domain. Additionally, it is expensive and unsustainable to manually create and maintain domain-specific dictionary using expert opinions. Deep learning models become mainstream methods in sentiment analysis because of their better performance by utilizing extra information on a larger corpus and more complex model structures. Howev...
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...
Sentiment analysis of news headlines is an important factor that investors consider when making inve...
Portfolio Investment has always been appealing to investors and researchers. In the past, people ten...
Using a unique data set from Seeking Alpha, we compare the deep learning approach with traditional m...
Researchers and financial professionals require robust computerized tools that allow users to rapidl...
Sentiment analysis, at scale, has become an essential tool in the methodological toolbox of finance...
This thesis explores sentiment analysis in Glassdoor employee reviews, focusing on both English and...
Abstract Deep Learning and Big Data analytics are two focal points of data science. Deep Learning mo...
The goal of this thesis is to build a trading strategy that jointly uses quantitative and qualitativ...
A vast amount of textual data is continually being generated every day and available across the inte...
International audienceGiven a corpus of financial news labelled according to the market reaction fol...
For as long as the stock market, financial news, and financial reports have been around, people have...
Sentiment analysis is a broad and expanding field that aims to extract and classifying opinions from...
Sentiments and beliefs play an important role in actions and decisions in a market environment; for ...
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...
Sentiment analysis of news headlines is an important factor that investors consider when making inve...
Portfolio Investment has always been appealing to investors and researchers. In the past, people ten...
Using a unique data set from Seeking Alpha, we compare the deep learning approach with traditional m...
Researchers and financial professionals require robust computerized tools that allow users to rapidl...
Sentiment analysis, at scale, has become an essential tool in the methodological toolbox of finance...
This thesis explores sentiment analysis in Glassdoor employee reviews, focusing on both English and...
Abstract Deep Learning and Big Data analytics are two focal points of data science. Deep Learning mo...
The goal of this thesis is to build a trading strategy that jointly uses quantitative and qualitativ...
A vast amount of textual data is continually being generated every day and available across the inte...
International audienceGiven a corpus of financial news labelled according to the market reaction fol...
For as long as the stock market, financial news, and financial reports have been around, people have...
Sentiment analysis is a broad and expanding field that aims to extract and classifying opinions from...
Sentiments and beliefs play an important role in actions and decisions in a market environment; for ...
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...
Sentiment analysis of news headlines is an important factor that investors consider when making inve...