Using frame-based resources for sentiment analysis within the financial domain

Mattia Atzeni; Amna Dridi; Diego Reforgiato Recupero

doi:10.1007/s13748-018-0162-8

Using frame-based resources for sentiment analysis within the financial domain

Mattia Atzeni, Amna Dridi, Diego Reforgiato Recupero^*

^*Corresponding author for this work

University of Cagliari

Research output: Contribution to journal › Article › peer-review

34 Citations (SciVal)

Original language	English
Pages (from-to)	273-294
Number of pages	22
Journal	Progress in Artificial Intelligence
Volume	7
Issue number	4
DOIs	https://doi.org/10.1007/s13748-018-0162-8
Publication status	Published (VoR) - 1 Dec 2018

Funding

CUP: F72F16003030002). This work has been supported by Sardinia Regional Government (P.O.R. Sardegna F.S.E. Operational Programme of the Autonomous Region of Sardinia, European Social Fund 2014– 2020-Axis IV Human Resources, Objective l.3, Line of Activity l.3.1.). Moreover, the research leading to these results has received funding from the European Union Horizon 2020 the Framework Programme for Research and Innovation (2014–2020) under Grant Agreement 643808 Project MARIO Managing active and healthy aging with use of caring service robots. Acknowledgements The authors gratefully acknowledge Sardinia Regional Government for the financial support (Convenzione tri-ennale tra la Fondazione di Sardegna e gli Atenei Sardi Regione Sardegna L.R. 7/2007 annualità 2016 DGR 28/21 del 17.05.2016, The authors gratefully acknowledge Sardinia Regional Government for the financial support (Convenzione triennale tra la Fondazione di Sardegna e gli Atenei Sardi Regione Sardegna L.R. 7/2007 annualità 2016 DGR 28/21 del 17.05.2016, CUP: F72F16003030002). This work has been supported by Sardinia Regional Government (P.O.R. Sardegna F.S.E. Operational Programme of the Autonomous Region of Sardinia, European Social Fund 2014–2020-Axis IV Human Resources, Objective l.3, Line of Activity l.3.1.). Moreover, the research leading to these results has received funding from the European Union Horizon 2020 the Framework Programme for Research and Innovation (2014–2020) under Grant Agreement 643808 Project MARIO Managing active and healthy aging with use of caring service robots.

Keywords

BabelNet
Financial domain
Frame semantics
Microblogs
News
Regression
Sentiment analysis

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10.1007/s13748-018-0162-8

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title = "Using frame-based resources for sentiment analysis within the financial domain",

keywords = "BabelNet, Financial domain, Frame semantics, Microblogs, News, Regression, Sentiment analysis",

author = "Mattia Atzeni and Amna Dridi and \{Reforgiato Recupero\}, Diego",

note = "Funding Information: CUP: F72F16003030002). This work has been supported by Sardinia Regional Government (P.O.R. Sardegna F.S.E. Operational Programme of the Autonomous Region of Sardinia, European Social Fund 2014– 2020-Axis IV Human Resources, Objective l.3, Line of Activity l.3.1.). Moreover, the research leading to these results has received funding from the European Union Horizon 2020 the Framework Programme for Research and Innovation (2014–2020) under Grant Agreement 643808 Project MARIO Managing active and healthy aging with use of caring service robots. Funding Information: Acknowledgements The authors gratefully acknowledge Sardinia Regional Government for the financial support (Convenzione tri-ennale tra la Fondazione di Sardegna e gli Atenei Sardi Regione Sardegna L.R. 7/2007 annualit{\`a} 2016 DGR 28/21 del 17.05.2016, Funding Information: The authors gratefully acknowledge Sardinia Regional Government for the financial support (Convenzione triennale tra la Fondazione di Sardegna e gli Atenei Sardi Regione Sardegna L.R. 7/2007 annualit{\`a} 2016 DGR 28/21 del 17.05.2016, CUP: F72F16003030002). This work has been supported by Sardinia Regional Government (P.O.R. Sardegna F.S.E. Operational Programme of the Autonomous Region of Sardinia, European Social Fund 2014–2020-Axis IV Human Resources, Objective l.3, Line of Activity l.3.1.). Moreover, the research leading to these results has received funding from the European Union Horizon 2020 the Framework Programme for Research and Innovation (2014–2020) under Grant Agreement 643808 Project MARIO Managing active and healthy aging with use of caring service robots. Publisher Copyright: {\textcopyright} 2018, Springer-Verlag GmbH Germany, part of Springer Nature.",

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AU - Atzeni, Mattia

AU - Dridi, Amna

AU - Reforgiato Recupero, Diego

N1 - Funding Information: CUP: F72F16003030002). This work has been supported by Sardinia Regional Government (P.O.R. Sardegna F.S.E. Operational Programme of the Autonomous Region of Sardinia, European Social Fund 2014– 2020-Axis IV Human Resources, Objective l.3, Line of Activity l.3.1.). Moreover, the research leading to these results has received funding from the European Union Horizon 2020 the Framework Programme for Research and Innovation (2014–2020) under Grant Agreement 643808 Project MARIO Managing active and healthy aging with use of caring service robots. Funding Information: Acknowledgements The authors gratefully acknowledge Sardinia Regional Government for the financial support (Convenzione tri-ennale tra la Fondazione di Sardegna e gli Atenei Sardi Regione Sardegna L.R. 7/2007 annualità 2016 DGR 28/21 del 17.05.2016, Funding Information: The authors gratefully acknowledge Sardinia Regional Government for the financial support (Convenzione triennale tra la Fondazione di Sardegna e gli Atenei Sardi Regione Sardegna L.R. 7/2007 annualità 2016 DGR 28/21 del 17.05.2016, CUP: F72F16003030002). This work has been supported by Sardinia Regional Government (P.O.R. Sardegna F.S.E. Operational Programme of the Autonomous Region of Sardinia, European Social Fund 2014–2020-Axis IV Human Resources, Objective l.3, Line of Activity l.3.1.). Moreover, the research leading to these results has received funding from the European Union Horizon 2020 the Framework Programme for Research and Innovation (2014–2020) under Grant Agreement 643808 Project MARIO Managing active and healthy aging with use of caring service robots. Publisher Copyright: © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.

PY - 2018/12/1

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KW - BabelNet

KW - Financial domain

KW - Frame semantics

KW - Microblogs

KW - News

KW - Regression

KW - Sentiment analysis

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Using frame-based resources for sentiment analysis within the financial domain

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