• Corpus ID: 54681611

Americas Conference on Information Systems ( AMCIS ) December 2002 COMBINING DATA AND TEXT MINING TECHNIQUES FOR ANALYZING FINANCIAL REPORTS

@inproceedings{Kloptchenko2017AmericasCO,
  title={Americas Conference on Information Systems ( AMCIS ) December 2002 COMBINING DATA AND TEXT MINING TECHNIQUES FOR ANALYZING FINANCIAL REPORTS},
  author={Antonina Kloptchenko},
  year={2017}
}
There is a vast amount of financial information on companies’ financial performance available to investors today. While automatic analysis of financial figures is common, it has been difficult to automatically extract meaning from the textual part of financial reports. The textual part of an annual report contains richer information than the financial ratios. In this paper, we combine data mining methods for analyzing quantitative and qualitative data from financial reports, in order to see if… 

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References

SHOWING 1-10 OF 15 REFERENCES

Comparing numerical data and text information from annual reports using self-organizing maps

Analysing Financial Performance with Quarterly Data Using Self- Organising Maps

The purpose is to analyse the quarterly financial performance of telecommunications companies with the help self-organising maps. In this report the three major actors on the telecommunications

Managing Complexity in Large Data Bases Using Self-Organizing Maps

Validation of Text Clustering Based on Document Contents

It is claimed that the new methodology is capable of automatic content-based clustering using the information of the document and to verify this hypothesis an experiment was designed with the Bible.

The President's Letter to Stockholders: An Examination of Corporate Communication Strategy

This study examines the content of president's letters of high and low performing firms in an effort to discover patterns in communication strategy.. Preliminary analysis of president's letters of

Prototype matching finding meaning in the books of the Bible

It is claimed that the new methodology based on a hierarchy of self-organizing maps (SOM) and a smart encoding of words is capable of extracting meaning automatically from the contents of the document.

Business Statistics: Decision Making with Data

Describing Patterns in Data: Organizing Data: Association and Relationships and Analyzing Count Data.

Performance and Readability: A Comparison of Annual Reports of Profitable and Unprofitable Corporations

This study tested the relationship between performance and the readability of annual reports. Style analysis of 60 annual reports using a computer style analyzer revealed that the annual reports of

Owning Corporate Texts

Engineers and public relations writers must cooperate to write public relations releases in a manufacturing firm. These releases represent the firm rather than any individual writer. An ethnographic

Machine Learning and Data Mining in Pattern Recognition

The proposed solution is a neural architecture that benefits from both word and character-level representations automatically, by using a combination of bi-directional LSTM and CRF layers, which can surpass F1 score comparing to two state-of-the-art approaches.