Search results for "Sentiment analysis"

Guided Tour Influence on Cruise Tourist Experience in a Port of Call: An eWOM and Questionnaire-Based Approach

2016

The study aims at exploring the importance of guided tours in cruise tourists experience while visiting a port of call and analyzing qualitative (electronic word of mouth from Tripadvisor) and quantitative (personal interviews with tourists) data. The results obtained from the electronic word of mouth analysis suggest that taking a guided tour is a highly satisfactory and sentimentally positive experience for the cruise tourist. Moreover, the empirical findings revealed that taking a guided tour has a moderating effect on (1) the interaction between destination image–satisfaction, (2) the satisfaction–loyalty causal relationship and (3) the destination image formation process regarding the …

Sentiment Analysis of Twitter in Tourism Destinations

2020

[EN] Given the importance of electronic word of mouth (eWOM), this paper analyses the content of messages generated by users related to a tourist destination and shared through Twitter. We propose three research questions regarding eWOM behaviour in Twitter focused on the expertise of the reviewer, sentiment analysis of a tweet and its content.In order to address those research questions we carry out text mining analysis by retrieving existing information on Twitter (over 1500 tweets) regarding to Venice as a tourist destination.

A Data-Driven Approach to Dynamically Learn Focused Lexicons for Recognizing Emotions in Social Network Streams

2016

Opinion Mining aims at identifying and classifying subjective information in a collection of documents. A variety of approach exists in literature, ranging from Supervised Learning to Unsupervised Learning. Currently, one of the biggest opinion resource of opinionated texts existing on the Web is represented by Social Networks. Networks are not only a vast collection of documents but they also represent a dynamic evolving resource as the users keep posting their own opinions. We based our work relying on this idea of dynamicity, building an evolving model that updates itself in real time as users submit their posts. This is done through a set of supervised techniques based on a Lexi- con of…

How News Affect the Trading Behavior of Different Categories of Investors in a Financial Market

2012

We investigate the trading behavior of a large set of single investors trading the highly liquid Nokia stock over the period 2003-2008 with the aim of determining the relative role of endogenous and exogenous factors that may affect their behavior. As endogenous factors we consider returns and volatility, whereas the exogenous factors we use are the total daily number of news and a semantic variable based on a sentiment analysis of news. Linear regression and partial correlation analysis of data show that different categories of investors are differently correlated to these factors. Governmental and non profit organizations are weakly sensitive to news and returns or volatility, and, typica…

Does culture affect sentiments expressed in cruise tours’ eWOM?

2018

ABSTRACTThe study aims to examine the sentiment differences in the content of cruise tour online reviews across North Americans and Europeans, as representing the two largest cruise markets. Dictionary-based sentiment analysis has been carried out on 1127 reviews on guided tours retrieved from TripAdvisor. The results indicate significant differences in the sentiment score of the reviews, with North Americans’ texts being more emotionally charged than the European ones. In addition, North Americans’ reviews conveyed a more positive affect and had a more subjective and intimate tone, while those written by Europeans contained a smaller amount of sentiment-bearing words and their tone was mor…

Investigating label suggestions for opinion mining in German Covid-19 social media

2021

This work investigates the use of interactively updated label suggestions to improve upon the efficiency of gathering annotations on the task of opinion mining in German Covid-19 social media data. We develop guidelines to conduct a controlled annotation study with social science students and find that suggestions from a model trained on a small, expert-annotated dataset already lead to a substantial improvement - in terms of inter-annotator agreement(+.14 Fleiss' $\kappa$) and annotation quality - compared to students that do not receive any label suggestions. We further find that label suggestions from interactively trained models do not lead to an improvement over suggestions from a stat…

Online Stakeholder Interaction of Some Airlines in the Light of Situational Crisis Communication Theory

2016

Part 2: Digital Marketing and Customer Relationship Management; International audience; The purpose of this paper is to explore the participation of main actors in Facebook. The engagement shows different degrees of participation that directly affect the brand image and reputation. This research applies Situational Crisis Communication Theory (SCCT) to interaction in the social media. It provides possibilities for decision makers to monitor diverse messages online, understand stakeholder concerns and reply to them adequately, which is especially important in crisis situations. Seven airline organizations were selected for a comparative analysis concerning their online discussions. The verif…

Towards Psychologically based Personalised Modelling of Emotions Using Associative Classifiers

2016

Learning environments, among other user-centred applications, are excellent candidates to trial Computational Emotions and their algorithms to enhance user experience and to expand the system usability. However, this was not feasible because of the paucity in affordable consumer technologies that support the requirements of systems with advanced cognitive capabilities. Microsoft Kinect provides an accessible and affordable technology that can enable cognitive features such as facial expressions extraction and emotions detection. However, it comes with its own additional challenges, such as the limited number of extracted Animation Units (AUs). This paper presents a new approach that attempt…

2020

Peer review is often criticized for being flawed, subjective and biased, but research into peer review has been hindered by a lack of access to peer review reports. Here we report the results of a study in which text-analysis software was used to determine the linguistic characteristics of 472,449 peer review reports. A range of characteristics (including analytical tone, authenticity, clout, three measures of sentiment, and morality) were studied as a function of reviewer recommendation, area of research, type of peer review and reviewer gender. We found that reviewer recommendation had the biggest impact on the linguistic characteristics of reports, and that area of research, type of peer…

Political candidates in infotainment programmes and their emotional effects on Twitter: an analysis of the 2015 Spanish general elections pre-campaig…

2017

[EN] The infotainment format offers candidates an informal setting to show a more personal side of themselves to the electorate, opening themselves up to potential voters. An example of media hybridisation, social networks users can immediately comment on infotainment television programmes, a process known as second screening. These second screeners tend to be especially active in politics. This paper analyses the immediate emotional reaction of these users as they watch infotainment programmes that air during the campaign or pre-campaign seasons and feature political candidates as guests. We have confirmed that second screeners react more emotionally towards the candidate when his or her p…