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Social Sentiment analysis financial IndeXes

Livrables

Final Report

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

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

Data Management Plan V2

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
Business Methodology definition

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

SSIX Technology and Skills Transfer Report

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
Data Requirement Analysis and Data Managment Plan V1

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

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

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

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

Business requirements and Business Cases' definitions

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

Business Use case test cases and validation plan.

Technology Transfer and Dissemination Plan 1st Version

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.

1st version SSIX Release Platform
SSIX Process Specification

Formal process specification and rules for SSIX templates.

SSIX Final Release Platform
SSIX Architecture Specification
NLP Service and Analysis Architecture (Revised Version)

Revised version of the architecture based on feedback from use cases and evaluation in real world environment.

SSIX API Definitions
NLP Service and Analysis Architecture (Initial Version)

Initial version of the architecture based on existing technology and state of the art.

Pilots in Industry

Real-world commercial trials of SSIX tools and services with Industry Partner customers.

Final Version of Project Web site, Wiki, LinkedIn and Training Materials

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

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

A Report on detailing the outcome of training activities.

Project Web site, Wiki, LinkedIn and Training Materials V1.0

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

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.

Publications

SemR-11: A Multi-Lingual Gold-Standard for Semantic Similarity and Relatedness for Eleven Languages

Auteurs: Barzegar, Siamak; Davis, Brian; Zarrouk, Manel; Handschuh, Siegfried; Freitas, André
Publié dans: 11th edition of the Language Resources and Evaluation Conference (LREC 2018), Numéro May 7-12,, 2018
Éditeur: ELRA
DOI: 10.5281/zenodo.1228905

Truth or Lie? Automatically Fact Checking News

Auteurs: Lucas Azevedo
Publié dans: WWW ’18 The Web Conference 2018, Numéro April 23–27,, 2018
Éditeur: ACM
DOI: 10.5281/zenodo.1228950

Composite Semantic Relation Classification

Auteurs: Barzegar, Siamak; Freitas, André; Handschuh, Siegfried; Davis, Brian
Publié dans: Natural Language and Data Bases (NLDB 2017), Numéro June 21-23,, 2017
Éditeur: Springer LNCS
DOI: 10.5281/zenodo.1228914

SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News

Auteurs: Cortis, Keith; Freitas, André; Daudert, Tobias; Hürlimann, Manuela; Zarrouk, Manel; Handschuh, Siegfried; Davis, Brian
Publié dans: International Workshop on Semantic Evaluation (SemEval-2017),, Numéro 3-4 August, 2017
Éditeur: ACL Anthology
DOI: 10.5281/zenodo.1228822

A Case Study of Machine Translation in Financial Sentiment Analysis

Auteurs: Zhang, Chong; Capelletti, Matteo; Poulis, Alexandros; Stemann, Thorben; Nemcova, Jane
Publié dans: The 16th Machine Translation Summit (MT Summit XVI), Numéro 18-22 September, 2017
Éditeur: International Association for Machine Translation (IAMT)
DOI: 10.5281/zenodo.1228942

Word Tagging with Foundational Ontology Classes: Extending the WordNet-DOLCE Mapping to Verbs

Auteurs: S. Silva, Vivian; Freitas, André; Handschuh, Siegfried
Publié dans: Knowledge Engineering and Knowledge Management 20th International Conference (EKAW 2016), Numéro 19-23 November, 2016
Éditeur: Springer LNCS
DOI: 10.5281/zenodo.1228869

Multilingual Semantic Relatedness using lightweight machine translation

Auteurs: Barzegar, Siamak; Davis, Brian; Handschuh, Siegfried; Freitas, André
Publié dans: 12th IEEE International Conference on Semantic Computing (ICSC 2018), Numéro Jan 31 - Feb 2, 2018
Éditeur: IEEE Computer Society Press
DOI: 10.5281/zenodo.1228918

A Twitter sentiment gold standard for the Brexit referendum

Auteurs: Hürlimann, Manuela; Davis, Brian; Cortis, Keith; Freitas, André; Handschuh, Siegfried; Fernández, Sergio
Publié dans: SEMANTiCS 2016 12th International Conference on Semantic Systems, Numéro September 12 - 15,, 2016
Éditeur: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.569251

Semantic relation classification: task formalisation and refinement

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

In or out? Real-time monitoring of BREXIT sentiment on Twitter

Auteurs: 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
Publié dans: SEMANTiCS 2016 12th International Conference on Semantic Systems, Numéro September 12 - 15, 2016
Éditeur: CEUR Workshop Proceedings
DOI: 10.5281/zenodo.569245

Social Sentiment Indices Powered by X-Scores

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

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