Background and Objectives: Twitter Sentiment Classification is one of the most popular fields in information retrieval and text mining. Millions of people of the world intensity use social networks like Twitter. It supports users to publish tweets to tell what they are thinking about topics. There are numerous web sites built on the Internet presenting Twitter. The user can enter a sentiment ta...

Using a calibrated general equilibrium model of the South African economy, with 24 types of households identified by ethnic background and income classification, and labor disaggregated into 13 different categories, this paper assesses the impacts of trade reform on household incomes and income distribution. Our general conclusion is that trade reform will most likely improve the average welfar...

Twitter is a microblogging website where users read and write millions of short messages on a variety of topics every day. This study uses the context of the German federal election to investigate whether Twitter is used as a forum for political deliberation and whether online messages on Twitter validly mirror offline political sentiment. Using LIWC text analysis software, we conducted a conte...

Tweet Harp is a musical instrument using Twitter and a laser harp. This instrument features the use of the human voice speaking tweets in Twitter as sounds for music. It is played by touching the six harp strings of laser beams. Tweet Harp gets the latest tweets from Twitter in real-time, and it creates music like a song with unexpected words. It also creates animation displaying the texts at t...

While the popularity of Twitter brings a plethora of Twitter researches, short, plain and informal tweet texts limit the research progress. This paper aims to investigate whether hyperlinks in tweets and their linked pages can be used to discover rich information for Twitter applications. The statistical analysis on the analysed hyperlinks offers the evidence that tweets contain a large amount ...

In this paper, we investigate how many containers would need to be screened in order to deter attackers from attempting to smuggle weapons into a defending country in container freight. We hypothesize that with a sufficiently high probability of being detected, attackers might be deterred from smuggling attempts. Thus, our goal is to identify the optimal proportion of containers to inspect in o...

In recent years, Customs and Border Protection (CBP) has installed radiation sensors to screen cargo containers entering the United States. They are concerned that terrorists could use containers to smuggle radiological material into the country and carry out attacks with dirty bombs or a nuclear device. Recent studies have questioned the value of improving this screening system with new sensor...

This paper reflects on trends in public diplomacy and on some of Spain’s public diplomacy challenges. The author is a member of the Working Group ‘Una Diplomacia Pública para España’. The paper is the text of a presentation delivered at the first Madrid Conference on Public Diplomacy, which was held on 10 October 2006 at the Spanish Ministry of Foreign Affairs' Diplomatic School. Organised by t...

Abstract: Using personnel data from a large U.S. retail firm, we examine whether the race or ethnicity of the hiring manager affects the racial composition of new hires. Estimating models with store fixed effects, we find significant effects of manager race and ethnicity. First, all nonblack managers—i.e., whites, Hispanics, and Asians—hire more whites and fewer blacks than do black managers. T...