A stock trend prediction has been in the spotlight from past to present. Fortunately, there is an enormous amount of information available nowadays. There were prior attempts that have tried forecast using textual information; however, it can be further improved since they relied on fixed word embedding, and depends sentiment whole market. In this paper, we propose a deep learning model predict...

Trend information is a summarization of temporal statistical data, such as changes in product prices and sales. We propose a method for extracting trend information from multiple newspaper articles and blogs, and visualizing the information as graphs. As target texts for extraction of trend information, the MuST (Multimodal Summarization for Trend Information) workshop focuses on newspaper arti...

Trend information is a summarization of temporal statistical data, such as changes in product prices and sales. We propose a method for extracting trend information from multiple newspaper articles. Our group participated in the T2 Subtask at TCIR-7 MuST (Multimodal Summarization for Trend Information). Our goal was to evaluate the effectiveness of our rule-based system using the data provided ...

Predictions of uprising or falling trends are helpful in different scenarios in which users have to deal with huge amount of information in a timely manner,such as during financial analysis. This temporal aspect in various cases of data analysis requires novel data mining techniques. Assuming that a given set of data, e.g. web news, contains information about a potential trend, e.g. financial c...