Add to ORKGTrend information is a summarization of temporal statistical data, such as changes in product prices and sales. We propose a method for extracting trend in-formation from multiple newspaper articles. Our group participated in the T2 Subtask at TCIR-7 MuST (Multimodal Summarization for Trend Informa-tion). Our goal was to evaluate the effectiveness of our rule-based system using the data provided by TCIR-7 MuST. From the experimental results, we obtained precision of 62.9 % and recall of 7.0%
Market price forecasting allows effective manage of pricing policy and acquire competitive advantage...
This repository contains the enrichments for the dataset The New York Times Annotated Corpus develop...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
Trend information is a summarization of temporal statistical data, such as changes in product prices...
[[abstract]]The thesis provides the frequency distribution of significant terms over past time perio...
In this paper, we automatically extract statistical terms and build their co-occurrence networks fro...
Various data sources are available in the era of Big Data to gain an improved market understanding. ...
Stock market prediction with data mining techniques is one of the most important issues to be inves...
Abstract. Stock market prediction with data mining techniques is one of the most important issues to...
News reports are an important source of information about society. Their analysis allows to understa...
Exacting information from news is basically finding and exacting pieces of relevant data from the la...
In this paper, we present the result of our experiment on analyzing a time series data such as the N...
The goal of this work was to extract polls and opinions trends from a very large corpus. We develope...
This thesis investigates the prediction of possible stock price changes immediately after news artic...
Associating the pattern in text data with the pattern with time series data is a novel task. In this...
Market price forecasting allows effective manage of pricing policy and acquire competitive advantage...
This repository contains the enrichments for the dataset The New York Times Annotated Corpus develop...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...
Trend information is a summarization of temporal statistical data, such as changes in product prices...
[[abstract]]The thesis provides the frequency distribution of significant terms over past time perio...
In this paper, we automatically extract statistical terms and build their co-occurrence networks fro...
Various data sources are available in the era of Big Data to gain an improved market understanding. ...
Stock market prediction with data mining techniques is one of the most important issues to be inves...
Abstract. Stock market prediction with data mining techniques is one of the most important issues to...
News reports are an important source of information about society. Their analysis allows to understa...
Exacting information from news is basically finding and exacting pieces of relevant data from the la...
In this paper, we present the result of our experiment on analyzing a time series data such as the N...
The goal of this work was to extract polls and opinions trends from a very large corpus. We develope...
This thesis investigates the prediction of possible stock price changes immediately after news artic...
Associating the pattern in text data with the pattern with time series data is a novel task. In this...
Market price forecasting allows effective manage of pricing policy and acquire competitive advantage...
This repository contains the enrichments for the dataset The New York Times Annotated Corpus develop...
This dataset is part of the Monash, UEA & UCR time series regression repository. http://tseregressio...