Textual Analytics applied to Financial Narratives is a research field with multiple perspectives, as this volume shows. Economists and financial experts can base their economic analyses not only on quantitative disclosures but also on the communication tools employed by managers to persuade their investors. From the NLP perspective, financial texts provide a suitable domain to apply techniques successfully used in information extraction, summarising, classification, and sentiment analysis. Applied linguistics also benefits from the exponential availability of electronic texts to carry out terminological studies and, in general, to better understand financial language in its lexical, grammatical, and discursive aspects. This set of interdisciplinary studies are known as Financial Narrative Processing (FNP). Until recently, FNP was restricted to documents in English, the international language of finance. Financial Narrative Processing in Spanish is the first collection of essays devoted to Spanish Financial Language (SFL). It brings together six pieces that provide an account of the current research in the field from a multidisciplinary perspective.
págs. 11-14
págs. 15-49
Review of the State of the Art in Financial Narrative Processing
Mahmoud El-Haj, Paul Rayson, Ismail El Maarouf, Najah-Imane Bentabet, Dominique Mariko, Estelle Labidurie, Marina Litvak, George Giannakopoulos, Ahmed AbuRa'ed, Nadhem Zmandar
págs. 51-98
Anglicisms in a Financial Corpus: Exploiting Resources for Terminological Retrieval and Analysis
págs. 99-134
Discourse Markers in Financial Narrative: the Case of the Annual Reports and Letters to Shareholders
págs. 135-177
Machine Learning Models for Classifying Spanish Beaters and Non-Beaters Financial Reports
Mahmoud El-Haj, Antonio Moreno Sandoval, José Antonio Jiménez Millán
págs. 179-198
Tools for Processing FINT-ESP Resources
Antonio Moreno Sandoval, José María Guirao Miras, José Antonio Jiménez Millán
págs. 199-210
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