Opinion and Factivity Analysis of Italian political discourse

The success of a newspaper article for the public opinion can be measured by the degree in which the journalist is able to report and modify (if needed) attitudes, opinions, feelings and political beliefs. We present a symbolic system for Italian, derived from GETARUNS, which integrates a range of natural language processing tools with the intent to characterise the print press discourse from a semantic and pragmatic point of view. This has been done on some 500K words of text, extracted from three Italian newspapers in order to characterize their stance on a deep political crisis situation. We tried two different approaches: a lexicon-based approach for semantic polarity using off-the-shelf dictionaries with the addition of manually supervised domain related concepts; another one is a feature-based semantic and pragmatic approach, which computes propositional level analysis with the intent to better characterize important component like factuality and subjectivity. Results are quite revealing and confirm the otherwise common knowledge about the political stance of each newspaper on such topic as the change of government that took place at the end of last year, 2011

Automatic Detection of Modality with ITGETARUNS

In this paper we present a system for modality detection which is then used for Subjectivity and Factuality evaluation. The system has been tested lately on a task for Subjectivity and Irony detection in Italian tweets , where the performance was 10th and 4th, respectively, over 27 participants overall. We will focus our paper on an internal evaluation where we considered three national newspapers Il Corriere, Repubblica, Libero. This task was prompted by a project on the evaluation of press stylistic features in political discourse. The project used newspaper articles from the same sources over a period of three months, thus including latest political 2013 governmental crisis. We intended to produce a similar experiment and evaluate results in comparison with previous 2011 crisis. In this evaluation, we focused on Subjectivity, Polarity and Factuality which include Modality evaluation. Final graphs at the end of the paper will show results confirming our previous findings about differences in style, with Il Corriere emerging as the most atypical

Analisi Linguistica e Stilostatistica – Uno Studio Predittivo sul Campo

This paper presents a case study defining a precise evaluation scheme for text stylistics to be used to rank different documents in terms of persuasiveness and easyness of reading. The study concerns political program documents published on a public forum by candidates to rector of the University Ca’ Foscari – Venice. The documents have been analysed by our system and a rank list has been created on the basis of scores associated to eleven parameters. After voting has taken place, we graded the different analyses and discovered that the system had predicted the name of the actual winner in advance. The result has been published on a local newspaper

Automatic detection of modality with ITGETARUNS

In this paper we present a system for modality detection which is then used for Subjectivity and Factuality evaluation. The system has been tested lately on a task for Subjectivity and Irony detection in Italian tweets (http:// www.di.unito.it/~tutreeb/sentipolc-evalita14/index.html), where the performance was 10th and 4th, respectively, over 27 participants overall. We will focus our paper on an internal evaluation where we considered three national newspapers Il Corriere, Repubblica, Libero. This task was prompted by a project on the evaluation of press stylistic features in political discourse. The project used newspaper articles from the same sources over a period of three months, thus including latest political 2013 governmental crisis. We intended to produce a similar experiment and evaluate results in comparison with previous 2011 crisis. In this evaluation, we focused on Subjectivity, Polarity and Factuality which include Modality evaluation. Final graphs at the end of the paper will show results confirming our previous findings about differences in style, with Il Corriere emerging as the most atypicalIn this paper we present a system for modality detection which is then used for Subjectivity and Factuality evaluation. The system has been tested lately on a task for Subjectivity and Irony detection in Italian tweets (http:// www.di.unito.it/~tutreeb/sentipolc-evalita14/index.html), where the performance was 10th and 4th, respectively, over 27 participants overall. We will focus our paper on an internal evaluation where we considered three national newspapers Il Corriere, Repubblica, Libero. This task was prompted by a project on the evaluation of press stylistic features in political discourse. The project used newspaper articles from the same sources over a period of three months, thus including latest political 2013 governmental crisis. We intended to produce a similar experiment and evaluate results in comparison with previous 2011 crisis. In this evaluation, we focused on Subjectivity, Polarity and Factuality which include Modality evaluation. Final graphs at the end of the paper will show results confirming our previous findings about differences in style, with Il Corriere emerging as the most atypica

A Large‐Scale E‐voting System Based on Blockchain

E-voting systems are increasingly used, considering the various facilities they offer: casting and counting votes in real time. The current voting systems are currently the target of attempted fraud and this is a major problem globally, which has not been solved even to this day. In the field of computer science, these e-voting platforms need to provide integrated security, thus enhancing the scalability and performance of the blockchain‐based e‐voting system. Our aim is to develop a secure internet-based voting system to maximize user participation, by allowing them to vote from anywhere. This paper proposes a system architecture based on blockchain technology along with a web interface in order to securely authenticate the voters on the platform. It should be noted in addition that these two components can be used together or separately, depending on the application’s needs