CoSIT 2017

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158 Computer Science & Information Technology (CS & IT) addition to ten different exhibits. Figure 1 illustrates partial extraction results for the 10-K section of the annual report as well as for two exhibits. Figure 1. Examples of the extraction result of the “Annual Report Algorithm“ Notes: The figure presents extraction results from Coca Cola´s 2015 annual report on Form 10-K filed with the SEC. The first part of the figure displays the actual 10-K section embedded in text version of the submission. The second part shows the statement of the auditing firm. The certification of the annual report by the CEO is presented in the last part of the figure. .Besides from textual content of entire documents (10-K section and exhibits) contained in the “Complete Submission Text File” investors and researchers might be interested in extracting textual information from particular sections (Items) within the core 10-K section of an annual report (like Item 1A - Risk Factors; Item 3 - Legal Proceedings; Item 7 - Management’s Discussion and Analysis of Financial Condition and Results of Operations etc.). In order to extract textual information from particular 10-K items the “Annual Report Algorithm” is modified to the “Items Algorithm”. Excluding all exhibits, the modified “Items Algorithm” isolates only the 10 K section within the SEC submission. After deleting nonrelevant information and decoding reserved characters within the document investors and researchers can extract textual information from specific 10-K items. Table 8 specifies the modified “Items Algorithm” applied to extract textual information from particular items of the annual report on Form 10-K filed with the SEC. Using only regular expressions to extract textual information from financial statements investors and researchers can implement the designed extraction algorithms in any modern application and computer program available today. By applying either the “Annual Report Algorithm” or the “Items Algorithm” entire documents (10-K section and exhibits) or particular items from the core 10-K section can be extracted from the annual SEC submissions in order to be analyzed. More importantly, while compensating for expensive commercial products the algorithms and their extraction results can be validated and replicated for any data sample at any given time. Figure 2 finally illustrates several extraction results of the “Items Algorithm” from the annual report on Form 10 K highly relevant to investors and researchers alike.
Computer Science & Information Technology (CS & IT) 159 Table 8. Regular expressions contained in the “Items Algorithm” Notes: The table presents the regular expressions contained in the modified “Items Algorithm” for extracting particular items from the annual report on Form 10-K. RegExes 1.1-6.1 modify the text version of a financial statement to be able to extract (clear) textual information from particular items. RegExes 7.1- 7.21 represent the actual regular expressions designed to extract particular sections from the text version of the annual report. Figure 2. Examples of the extraction result of the “Items Algorithm” Notes: The figure presents extraction results from Coca Cola´s 2015 annual report on Form 10-K filed with the SEC. The first part of the figure displays Item 1A (Risk Factors) embedded in the overall 10-K section.
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Computer Science & Information Tech
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Volume Editors Dhinaharan Nagamalai
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Organization General Chair Nataraja
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Technically Sponsored by Computer S
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Fourth International Conference on
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UNSUPERVISED DETECTION OF VIOLENT C
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INVESTIGATING BINARY STRING ENCODIN
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USE OF ADAPTIVE COLOURED PETRI NETW
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2.2. Extended Adaptive Decision Tab
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4. METHODOLOGY Computer Science & I
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A NOVEL ADAPTIVE - WAVELET BASED DE
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HANDWRITTEN CHARACTER RECOGNITION U
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DIVING PERFORMANCE ASSESSMENT BY ME
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4.4. Barycentre identification Comp
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IS AI IN JEOPARDY? THE NEED TO UNDE
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ANKLE MUSCLE SYNERGIES FOR SMOOTH P
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ADVANCED LSB TECHNIQUE FOR AUDIO ST
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SECURING ONLINE ACCOUNTS VIA NEW HA
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• Clark-Wilson Integrity Model Co
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NEW NON-COPRIME CONJUGATE-PAIR BINA
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Page 139 and 140: ESTIMATING HANDLING TIME OF SOFTWAR
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Page 159 and 160: THE ANNUAL REPORT ALGORITHM: RETRIE
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Page 179 and 180: A STUDY ON THE MOTION CHANGE UNDER
Page 181 and 182: B) Experiment part Computer Science
Page 185 and 186: ADAPTIVE AUTOMATA FOR GRAMMAR BASED
Page 197 and 198: STORAGE GROWING FORECAST WITH BACUL
Page 209: AUTHOR INDEX Abdullah A. Al-Shaher
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