Search results for "Sentiment"
showing 10 items of 134 documents
Body Gestures and Spoken Sentences: A Novel Approach for Revealing User’s Emotions
2017
In the last decade, there has been a growing interest in emotion analysis research, which has been applied in several areas of computer science. Many authors have con- tributed to the development of emotion recognition algorithms, considering textual or non verbal data as input, such as facial expressions, gestures or, in the case of multi-modal emotion recognition, a combination of them. In this paper, we describe a method to detect emotions from gestures using the skeletal data obtained from Kinect-like devices as input, as well as a textual description of their meaning. The experimental results show that the correlation existing between body movements and spoken user sentence(s) can be u…
Patients With Cancer and COVID-19: A WhatsApp Messenger-Based Survey of Patients' Queries, Needs, Fears, and Actions Taken
2020
PURPOSE This descriptive investigation was undertaken at three oncology units to report queries, needs, and fears related to severe acute respiratory syndrome coronavirus 2 (COVID-19) of patients with cancer and to avoid uncontrolled treatment delays or withdrawal, behavioral mistakes, and panic. PATIENTS AND METHODS All queries spontaneously delivered through the WhatsApp instant messaging system commonly used by patients to communicate with oncology units were collected and grouped by homology in five categories. Responses to the queries were given according to recommendations by the Italian Association of Medical Oncology through WhatsApp and by subsequent phone calls. Patients were also…
Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics
2015
The new digital revolution of big data is deeply changing our capability of understanding society and forecasting the outcome of many social and economic systems. Unfortunately, information can be very heterogeneous in the importance, relevance, and surprise it conveys, affecting severely the predictive power of semantic and statistical methods. Here we show that the aggregation of web users' behavior can be elicited to overcome this problem in a hard to predict complex system, namely the financial market. Specifically, our in-sample analysis shows that the combined use of sentiment analysis of news and browsing activity of users of Yahoo! Finance greatly helps forecasting intra-day and dai…
How Trump tweets: A comparative analysis of tweets by US politicians
2021
This paper analyses tweets sent from Donald Trump’s Twitter account @realDonaldTrump and contextualises them by contrasting them with several genres (i.e. political and ‘average’ Twitter, blogs, expressive writing, novels, The New York Times and natural speech). Taking common claims about Donald Trump’s language as a starting point, the study focusses on commonalities and differences between his tweets and those by other US politicians. Using the sentiment analysis tool Linguistic Inquiry and Word Count (LIWC) and a principal component analysis, I examine a newly compiled 1.5-million-word corpus of tweets sent from US politicians’ accounts between 2009 and 2018 with a special focus on the q…
Towards Bankruptcy Prediction: Deep Sentiment Mining to Detect Financial Distress from Business Management Reports
2018
Due to their disclosure required by law, business management reports have become publicly available for a large number of companies, and these reports offer the opportunity to assess the financial health or distress of a company, both quantitatively from the balance sheets and qualitatively from the text. In this paper, we analyze the potential of deep sentiment mining from the textual parts of business management reports and aim to detect signals for financial distress. We (1) created the largest corpus of business reports analyzed qualitatively to date, (2) defined a non-trivial target variable based on the so-called Altman Z-score, (3) developed a filtering of sentences based on class-co…
L'apport du sentiment de l'investisseur dans l'explication des crises boursières : Une analyse en données de panel
2011
Un debat tres anime portant sur le lien entre les aspects comportementaux des investisseurs et les marches financiers s’est largement developpe au cours de la derniere decennie. La presente etude teste l’impact du sentiment de l’investisseur sur un panel de marches boursiers internationaux. Nous etudions l’influence du sentiment de l’investisseur sur la probabilite de survenance des crises boursieres. Nos resultats montrent que les crises boursieres sont precedees de periodes de montee de l’euphorie des investisseurs.
A Lexicon-based Approach for Sentiment Classification of Amazon Books Reviews in Italian Language
2016
We present a system aimed at the automatic classification of the sentiment orientation expressed into book reviews written in Italian language. The system we have developed is found on a lexicon-based approach and uses NLP techniques in order to take into account the linguistic relation between terms in the analyzed texts. The classification of a review is based on the average sentiment strenght of its sentences, while the classification of each sentence is obtained through a parsing process inspecting, for each term, a window of previous items to detect particular combinations of elements giving inversions or variations of polarity. The score of a single word depends on all the associated …
Les deux faces – objective/subjective – de la mobilité sociale
2006
06062; National audience; How does objective social mobility, traditionally measured with tables of mobility drawn up by sociologists, relate to feelings about mobility, i.e., how individuals perceive, explain and appraise their social trajectory? Using a question from a survey (Insee's Formation, qualification professionnelle), subjective mobility was statistically evaluated so as to bring the two approaches to mobility together and measure the (considerable) frequency of deviations. Subjective mobility was then analyzed qualitatively on the basis of interviews conducted with respondents in the same survey. This helps us account for deviations and identify the bundle of parameters that peo…
L'estudi de la deshumanització i la infrahumanització en psicologia
2010
L'estudi psicosocial sobre la conducta antisocial i la crueltat dels éssers humans reconeix l'existència d'una representació deshumanitzadora de l'altre. El propòsit d'aquest article és presentar els avanços empírics en l'estudi de la infrahumanització, com a atribució diferencial de sentiments en l'endogrup i en l'exogrup. Atès que els sentiments 'per exemple, l'amor, l'esperança, el menyspreu, el ressentiment' es consideren emocions exclusivament humanes, les persones no sols atribueixen més sentiments a l'endogrup que no als exogrups, sinó que neguen a aquests últims la capacitat de vivenciar-ne. Ara oferim, en primer lloc, una descripció de les distintes perspectives que s'han utilitzat…
Investor Sentiment and Accruals Anomaly
2017
This paper examines whether investors’ sentiment affectsaccruals anomaly across 15 European countries. In line with recent evidence for the U.S., we find that sentiment causes accruals mispricing across European countries. The effect is pronounced for stocks whose valuations are highly subjective and difficultto arbitrage. Our results also reveal evidence in favor of managers' opportunistic disclosure behavior. The accruals reported are higher in high sentiment periods as compared with low sentiment periods. Our cross-country analysisprovidesevidence that sentiment influences accruals anomaly in countries with weaker outside shareholder rights, lower legal enforcement, lower equity market d…