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CORDIS - Risultati della ricerca dell’UE
CORDIS

Social Sentiment analysis financial IndeXes

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Final Report (si apre in una nuova finestra)

Final report summarising the overall output of the project from M1-M36. The report will include a summary of achievements, challenges and research, technical and commercial output of the SSIX project. In addition, the outlook and future projects /efforts concerning SSIX beyond the project ending will be described.

2nd Catalogue of SSIX Language Resources (si apre in una nuova finestra)

Second version of multilingual language resources supported by automatic methods for lexical acquisition.

Data Management Plan V2 (si apre in una nuova finestra)

This document will contain an updated Data Management Plan (DMP) describing all the types of data that will be collected and stored during the project, how this should be recorded, stored and protected, in line with the ethical procedures and laws on data protection and what can be made publicly available for re-use by other parties through the Pilot on Open Research Data in Horizon 2020.

Technology Transfer and Dissemination Plan Final Version (si apre in una nuova finestra)
Business Methodology definition (si apre in una nuova finestra)

This deliverable will specify how SSIX templates will be used in various business scenarios as deployment and exploitation.

SSIX Technology and Skills Transfer Report (si apre in una nuova finestra)

Analysis report tactically produced mid-term to build a wider interest among industry partners and user groups in the project and our results.

Technology Transfer and Dissemination Plan 2nd Version (si apre in una nuova finestra)
Data Requirement Analysis and Data Managment Plan V1 (si apre in una nuova finestra)

This document will contain the results of the analysis on the provided data sources, including the possible technical limits and constraints. It will also contain a Data Management Plan (DMP) describing all the types of data that will be collected and stored during the project, how this should be recorded, stored and protected, in line with the ethical procedures and laws on data protection and what can be made publicly available for re-use by other parties through the Pilot on Open Research Data in Horizon 2020.

Data Management Plan V3 (si apre in una nuova finestra)

An updated version of the Data Management Plan (DMP), describing all the types of data that will be collected and stored during the project, how this should be recorded, stored and protected, in line with the ethical procedures and laws on data protection and what can be made publicly available for re-use by other parties through the Pilot on Open Research Data in Horizon 2020.

Data Streams documentation (si apre in una nuova finestra)

A technical document that explains the structure of the data streams sent to the SSIX platform by the End Point.

1st Catalogue of SSIX Language Resources (si apre in una nuova finestra)

Initial version of multilingual domain specific and sentiment lexica based on existing language resources.

Business requirements and Business Cases' definitions (si apre in una nuova finestra)

This deliverable will define the business requirements industry partners have that will lead to the detailed construction of business case studies. A full usage description of how SSIX Indices will be implemented and used within a real world scenario will be provided in order to guide the development in WP4 and deployment and validation in WP5.

SSIX Technical Validation Plan (si apre in una nuova finestra)

Business Use case test cases and validation plan.

Technology Transfer and Dissemination Plan 1st Version (si apre in una nuova finestra)

Document is drafted in M3 and periodically updated with final version containing Business Plan details. Included as an addendum with all partner Business Plan details incorporated.

Final Version of Project Web site, Wiki, LinkedIn and Training Materials (si apre in una nuova finestra)

Third version of project website site, wiki and social media updated and maintained throughout the project. Complete portfolio of training materials.

Project Web site, Wiki, LinkedIn and Training Materials V3.0 (si apre in una nuova finestra)

Third version of project website site, wiki and social media updated and maintained throughout the project. Increase in social media traffic, linkedIn profile and training materials.

SSIX Professional skills and technologies training courses (si apre in una nuova finestra)

A Report on detailing the outcome of training activities.

Project Web site, Wiki, LinkedIn and Training Materials V1.0 (si apre in una nuova finestra)

Project Website Site and social media updated and maintained throughout the project, Version 1. Basic website and wiki should be set up in by M2.

Project Web site, Wiki, LinkedIn and Training Materials V2.0 (si apre in una nuova finestra)

Second version of project website site and social media updated and maintained throughout the project. Increase in social media and LinkedIn profile and training materials.

Pubblicazioni

SemR-11: A Multi-Lingual Gold-Standard for Semantic Similarity and Relatedness for Eleven Languages (si apre in una nuova finestra)

Autori: Barzegar, Siamak; Davis, Brian; Zarrouk, Manel; Handschuh, Siegfried; Freitas, André
Pubblicato in: 11th edition of the Language Resources and Evaluation Conference (LREC 2018), Numero May 7-12,, 2018
Editore: ELRA
DOI: 10.5281/zenodo.1228905

Truth or Lie? Automatically Fact Checking News (si apre in una nuova finestra)

Autori: Lucas Azevedo
Pubblicato in: WWW ’18 The Web Conference 2018, Numero April 23–27,, 2018
Editore: ACM
DOI: 10.5281/zenodo.1228950

Composite Semantic Relation Classification (si apre in una nuova finestra)

Autori: Barzegar, Siamak; Freitas, André; Handschuh, Siegfried; Davis, Brian
Pubblicato in: Natural Language and Data Bases (NLDB 2017), Numero June 21-23,, 2017
Editore: Springer LNCS
DOI: 10.5281/zenodo.1228914

SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News (si apre in una nuova finestra)

Autori: Cortis, Keith; Freitas, André; Daudert, Tobias; Hürlimann, Manuela; Zarrouk, Manel; Handschuh, Siegfried; Davis, Brian
Pubblicato in: International Workshop on Semantic Evaluation (SemEval-2017),, Numero 3-4 August, 2017
Editore: ACL Anthology
DOI: 10.5281/zenodo.1228822

A Case Study of Machine Translation in Financial Sentiment Analysis (si apre in una nuova finestra)

Autori: Zhang, Chong; Capelletti, Matteo; Poulis, Alexandros; Stemann, Thorben; Nemcova, Jane
Pubblicato in: The 16th Machine Translation Summit (MT Summit XVI), Numero 18-22 September, 2017
Editore: International Association for Machine Translation (IAMT)
DOI: 10.5281/zenodo.1228942

Word Tagging with Foundational Ontology Classes: Extending the WordNet-DOLCE Mapping to Verbs (si apre in una nuova finestra)

Autori: S. Silva, Vivian; Freitas, André; Handschuh, Siegfried
Pubblicato in: Knowledge Engineering and Knowledge Management 20th International Conference (EKAW 2016), Numero 19-23 November, 2016
Editore: Springer LNCS
DOI: 10.5281/zenodo.1228869

Multilingual Semantic Relatedness using lightweight machine translation (si apre in una nuova finestra)

Autori: Barzegar, Siamak; Davis, Brian; Handschuh, Siegfried; Freitas, André
Pubblicato in: 12th IEEE International Conference on Semantic Computing (ICSC 2018), Numero Jan 31 - Feb 2, 2018
Editore: IEEE Computer Society Press
DOI: 10.5281/zenodo.1228918

A Twitter sentiment gold standard for the Brexit referendum (si apre in una nuova finestra)

Autori: Hürlimann, Manuela; Davis, Brian; Cortis, Keith; Freitas, André; Handschuh, Siegfried; Fernández, Sergio
Pubblicato in: SEMANTiCS 2016 12th International Conference on Semantic Systems, Numero September 12 - 15,, 2016
Editore: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.569251

Semantic relation classification: task formalisation and refinement (si apre in una nuova finestra)

Autori: Silva, Vivian S.; Hürliman, Manuela; Davis, Brian; Handschuh, Siegfried; Freitas, André
Pubblicato in: Paper presented at the Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex-V), Numero December 12,, 2016
Editore: Association for Computational Linguistics
DOI: 10.5281/zenodo.569254

In or out? Real-time monitoring of BREXIT sentiment on Twitter (si apre in una nuova finestra)

Autori: Vasiliu, Laurentiu; Freitas, André; Caroli, Frederico; McDermott, Ross; Zarrouk, Manel; Hürlimann, Manuela; Davis, Brian; Daudert, Tobias; Khaled, Malek Ben; Byrne, David; Fernández, Sergio; Cavallini, Angelo
Pubblicato in: SEMANTiCS 2016 12th International Conference on Semantic Systems, Numero September 12 - 15, 2016
Editore: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.569245

Social Sentiment Indices Powered by X-Scores (si apre in una nuova finestra)

Autori: Brian Davis, Keith Cortis, Laurentiu Vasiliuz, Adamantios Koumpisy, Ross McDermott and Siegfried Handschuh
Pubblicato in: 2nd International Conference on Big Data, Small Data, Linked Data and Open Data (ALLDATA ),, Numero February 21 - 25,, 2016
Editore: IARIA XPS Press
DOI: 10.5281/zenodo.49355

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