An Extraction Method of Time-Series Numerical Data from Press Releases Using Co-Occurrence Conditions of Numbers and Time Stamps Related to Target Business Keyword

A method to extract time series data about a specific matter related to the business from press releases of a company is proposed. In press releases of a company, a numerical data about a specific matter often co-occurs with specific words. From this view point, when keywords are input, our system extracts a set of numerical data and time stamp that co-occurs with them. Our system extracts numerical data close to keywords based on the word-distance, and time stamps are extracted in the same manner. The expression of extracted data is unified for visualization. Through applied results to the press releases of several kinds of documents, it is confirmed that the accuracy of the extracted numerical data by this proposed method is good enough to support business analysis.