Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Deploying NLP Techniques for Earnings Call Transcripts for Financial Analysis: A Reverse Phenomenon Paradigm Subject The topic of the resource 'Inverse Effect'; Behavioral Finance; Earnings Call Transcripts; Earnings per Share; Efficient Market Hypothesis; Lexicon Based Sentiments Analysis; Market Performance; Polarity; Stock Price; Weak Market Hypothesis Description An account of the resource This study analyses the influence of quarterly board room discussions conducted in the form of "Earnings Call Transcripts"and company's stock price changes in the subsequent periods. In this study, sentiments were extracted from the "textual quarterly transcripts"of three major software companies for the last ten years. The extracted sentiments were statistically analyzed for patterns and types. The study led to the development of a new response variable called the 'Inverse Effect'. The 'Inverse Effect' simply refers to the discordance between the sentiment in the boardroom discussions available in the document form and changes in the stock price movements. If the sentiment for the current quarter is positive and the changes in the stock price movements is also positive in the subsequent quarter, it is considered as "concordance"and if the changes in the stock price movements is opposite to the sentiments it will be called as "discordance"which is the inverse effect. The study basically looks at the areas where the Weak Market Hypothesis (WMH) is not valid.The findings emerged from the study suggest a possible causality between the sentiments in the transcripts and the stock price changes. It was also found that sentiment polarity, three-quarter average stock price and the previous quarter stock price are the key determinants of the 'Inverse Effect'. Based on the findings from the study, appropriate machine learning models were developed and evaluated to predict the 'Inverse Effect' on the performance of individual stocks of a few select companies. 2023 IEEE. Creator An entity primarily responsible for making the resource Nagendra B.V.; Simha J.B.; Abhi S.; Kumar Chandar S. Source A related resource from which the described resource is derived 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 - Proceedings, pp. 368-375. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/I-SMAC58438.2023.10290494" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/I-SMAC58438.2023.10290494</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177617890&amp;doi=10.1109%2FI-SMAC58438.2023.10290494&amp;partnerID=40&amp;md5=755f50ad1b49b04b1e9d9a7925199572" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177617890&amp;doi=10.1109%2fI-SMAC58438.2023.10290494&amp;partnerID=40&amp;md5=755f50ad1b49b04b1e9d9a7925199572</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034148-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Nagendra B.V., Christ (Deemed to Be University), Bengaluru, India; Simha J.B., Reva University, Reva Academy for Corporate Excellence, Bangalore, India; Abhi S., Reva University, Reva Academy for Corporate Excellence, Bangalore, India; Kumar Chandar S., Christ (Deemed to Be University), Bengaluru, India