Add to ORKGWith the recent availability and growing popularity of social media resources such as online news sites, opportunities arise as people use information processing techniques to capture the impact such news have. This thesis explores topic modelling to do sentiment analysis of news articles on topics
Day by day, the global climate crisis threatens all the people on the world. The climate crisis come...
For as long as the stock market, financial news, and financial reports have been around, people have...
In the thesis, we explored prospects of extracting sentiment contained in Twitter messages. We propo...
With the recent availability and growing popularity of social media resources such as online news si...
Today we seldom suffer from lack of information; on the contrary, we often suffer from too much info...
Sentiment Analysis is an extensively studied topic that is increasingly applied in financial appl...
The aim of this chapter is to present the prototype developed in the TrendMiner project in the finan...
Increasingly, sentiment analysis has proven to be invaluable in the past decade. Driven by the need ...
Sentiment analysis is useful for multiple tasks including customer satisfaction metrics, identifying...
Sentiments and beliefs play an important role in actions and decisions in a market environment; for ...
© 2017 While time-series analysis is commonly used in financial forecasting, a key source of market-...
Public opinion, as measured by media sentiment, can be an important indicator in the financial and e...
Sentiment analysis of news headlines is an important factor that investors consider when making inve...
This paper comprehensively studies the sentiment analysis of stock market news and explains the matu...
International audienceThe goal of this research is to build a model to predict stock price movement ...
Day by day, the global climate crisis threatens all the people on the world. The climate crisis come...
For as long as the stock market, financial news, and financial reports have been around, people have...
In the thesis, we explored prospects of extracting sentiment contained in Twitter messages. We propo...
With the recent availability and growing popularity of social media resources such as online news si...
Today we seldom suffer from lack of information; on the contrary, we often suffer from too much info...
Sentiment Analysis is an extensively studied topic that is increasingly applied in financial appl...
The aim of this chapter is to present the prototype developed in the TrendMiner project in the finan...
Increasingly, sentiment analysis has proven to be invaluable in the past decade. Driven by the need ...
Sentiment analysis is useful for multiple tasks including customer satisfaction metrics, identifying...
Sentiments and beliefs play an important role in actions and decisions in a market environment; for ...
© 2017 While time-series analysis is commonly used in financial forecasting, a key source of market-...
Public opinion, as measured by media sentiment, can be an important indicator in the financial and e...
Sentiment analysis of news headlines is an important factor that investors consider when making inve...
This paper comprehensively studies the sentiment analysis of stock market news and explains the matu...
International audienceThe goal of this research is to build a model to predict stock price movement ...
Day by day, the global climate crisis threatens all the people on the world. The climate crisis come...
For as long as the stock market, financial news, and financial reports have been around, people have...
In the thesis, we explored prospects of extracting sentiment contained in Twitter messages. We propo...