Large-Scale Goodness Polarity Lexicons for Community Question Answering

We transfer a key idea from the field of sentiment analysis to a new domain: community question answering (cQA). The cQA task we are interested in is the following: given a question and a thread of comments, we want to re-rank the comments so that the ones that are good answers to the question would be ranked higher than the bad ones. We notice that good vs. bad comments use specific vocabulary and that one can often predict the goodness/badness of a comment even ignoring the question, based on the comment contents only. This leads us to the idea to build a good/bad polarity lexicon as an analogy to the positive/negative sentiment polarity lexicons, commonly used in sentiment analysis. In particular, we use pointwise mutual information in order to build large-scale goodness polarity lexicons in a semi-supervised manner starting with a small number of initial seeds. The evaluation results show an improvement of 0.7 MAP points absolute over a very strong baseline and state-of-the art performance on SemEval-2016 Task 3.Comment: SIGIR '17, August 07-11, 2017, Shinjuku, Tokyo, Japan; Community Question Answering; Goodness polarity lexicons; Sentiment Analysi

SemEval-2016 task 5 : aspect based sentiment analysis

International audienceThis paper describes the SemEval 2016 shared task on Aspect Based Sentiment Analysis (ABSA), a continuation of the respective tasks of 2014 and 2015. In its third year, the task provided 19 training and 20 testing datasets for 8 languages and 7 domains, as well as a common evaluation procedure. From these datasets, 25 were for sentence-level and 14 for text-level ABSA; the latter was introduced for the first time as a subtask in SemEval. The task attracted 245 submissions from 29 teams

Λεπτομερής Aνάλυση Συναισθήματος/Άποψης

Sentiment Analysis constitutes a key data analytics tool in many contexts and domains, since it helps to automatically detect and analyze public opinions, emotions, attitudes, and needs in massive amounts of unstructured data using Natural Language Processing and Text Mining methods. The research activity of this PhD thesis focused on two types of opinionated user-generated content; evaluations expressed by customers about products and services and their aspects in particular domains of interest (restaurant and laptop reviews), and verbal attacks against predefined target groups of interest (e.g. refugees, immigrants) in the context of Computational Social Sciences, covering an industrial and a humanitarian use case of Sentiment Analysis, respectively. In this setting, this thesis presents: a) a principled unified knowledge representation framework and English benchmark datasets for Aspect Based Sentiment Analysis, and b) a linguistically inspired and data-driven framework for examining Verbal Aggression as an indicator of xenophobic attitudes in Greek Social Media.Η επιστημονική περιοχή της Ανάλυσης Συναισθήματος/Άποψης αποτελεί ένα βασικό εργαλείο ανάλυσης δεδομένων σε πολλoύς κλάδους, καθώς βοηθάει στον αυτόματο εντοπισμό και την ανάλυση απόψεων, συναισθημάτων, συμπεριφορών και αναγκών που εκφράζονται από χρήστες του διαδικτύου σε τεράστιες ποσότητες μη δομημένων δεδομένων χρησιμοποιώντας μεθόδους Επεξεργασίας Φυσικής Γλώσσας και Εξόρυξης Κειμένου. Η ερευνητική δραστηριότητα αυτής της διδακτορικής διατριβής επικεντρώθηκε σε δύο τύπους περιεχομένου που παράγεται από χρήστες του διαδικτύου: αξιολογήσεις πελατών σχετικά με προϊόντα, υπηρεσίες και τα επιμέρους χαρακτηριστικά τους σε συγκεκριμένους τομείς επιχειρηματικής δραστηριότητας (κριτικές εστιατορίων και φορητών υπολογιστών), και λεκτικές επιθέσεις εναντίον προκαθορισμένων ομάδων στόχων (π.χ. πρόσφυγες, μετανάστες) στον χώρο των ανθρωπιστικών, και συγκεκριμένα, των Υπολογιστικών Κοινωνικών Επιστημών. Στο πλαίσιο αυτό, η παρούσα διατριβή παρουσιάζει: α) ένα ενιαίο πλαίσιο αναπαράστασης γνώσης και τρία σύνολα επισημειωμένων δεδομένων στην Αγγλική γλώσσα για την ανάλυση συναισθήματος/άποψης βασισμένης σε χαρακτηριστικά οντοτήτων, και β) ένα γλωσσικά εμπνευσμένο και καθοδηγούμενο από δεδομένα πλαίσιο για την εξέταση της λεκτικής επιθετικότητας ως δείκτη ξενοφοβικών συμπεριφορών στα ελληνικά μέσα κοινωνικής δικτύωσης

Ενσυναίσθηση:Μία σύγχρονη έννοια με παλαιό περιεχόμενο .Το παράδειγμα Του Αγίου Νεκταρίου

Περίληψη Η ενσυναίσθηση (empathy) είναι μια παλαιά έννοια, η οποία θα εξεταστεί στην παρούσα διπλωματική εργασία υπό το πρίσμα μιας σύγχρονης προσέγγισης. Ακόμη, η αντίληψη της θα συνδεθεί με το παράδειγμα του Αγίου Νεκταρίου και θα γίνει μια απόπειρα να εντοπισθούν στοιχεία ενσυναίσθησης στον βίο, τα έργα και στην εν γένει ποιμαντική διακονία του Αγίου. Σκοπός της παρούσας διπλωματικής εργασίας είναι η ανάλυση της ιδέας της «κατανόησης» και η σύνδεσή της με πτυχές της καθημερινής ζωής, καθώς και με την Ορθόδοξη χριστιανική πίστη, δεδομένου ότι η ενσυναίσθηση προάγει την ψυχική ευεξία και αποτελεί σημαντικό παράγοντα ψυχικής ανθεκτικότητας. Για τη συγγραφή της μελέτης αυτής, συγκεντρώθηκε πλούσιο βιβλιογραφικό υλικό, και προσεγγίστηκαν αποτελέσματα ερευνών που αφορούν την ενσυναίσθηση σε παγκόσμια εμβέλεια. Ακόμη, η έννοια αυτή συνδέθηκε με σαφή και τεκμηριωμένα επιχειρήματα και παραδείγματα (όπως αυτό του Αγίου Νεκταρίου που αναλύεται στην παρούσα εργασία) με το Ορθόδοξο Χριστιανικό Δόγμα και την αγάπη που πρεσβεύει. Εν κατακλείδι, η ενσυναίσθηση συνθέτει μια ικανότητα, η οποία μπορεί να καλλιεργηθεί με τις κατάλληλες τεχνικές βοηθώντας τους ανθρώπους να επικοινωνήσουν και να συνδεθούν τόσο με τον περίγυρό τους όσο και με τον ίδιο τους τον εαυτό. Αποτελεί ένα συναίσθημα που εξελίσσει τα ανθρώπινα όντα, προάγει την ψυχοσωματική υγεία και λειτουργεί επικουρικά σε όλους τους τομείς της καθημερινότητας. Η Ορθόδοξη χριστιανική διδασκαλία έχει άρρηκτη σχέση με την ενσυναίσθηση, μιας και πρεσβεύει την αγάπη και την αυθεντική και αγαπητική κοινωνία με όλους τους ανθρώπους. Ο Άγιος Νεκτάριος μέσα από τα έργα του αλλά από την ίδια την Αγία βιωτή Του, διδάσκει ένα έμπρακτο σύγχρονο παράδειγμα ενσυναίσθησης.Abstract Empathy is an old concept which will be examined in this dissertation in the light of a modern approach. Furthermore, the perception will relate to the example of Saint Nektarios and an attempt will be made to identify elements of empathy in the life, works and in the pastoral ministry of the Saint in general. The purpose of this dissertation is to analyze the idea of "understanding" and its connection with aspects of daily life, as well as with the Orthodox Christian Faith as empathy promotes mental well-being and is an important factor of mental resilience. For the writing of this study, rich bibliographic material was collected, but also the results of research concerning empathy on a global scale were approached. Furthermore, this concept was associated with clear and substantiated arguments and examples (such as the example of St. Nektarios discussed in this paper) with the Orthodox Christian Doctrine and the love it stands for. In conclusion, empathy composes a skill, which can be cultivated with the right techniques helping people to communicate and connect with the people around them and with themselves. It is an emotion that evolves human beings, promotes psychosomatic health and acts as an adjunct in all areas of daily lives. Orthodox Christian Teaching is inextricably linked with empathy as it advocates love and authentic and loving fellowship with all people. Saint Nektarios teaches a practical modern example of empathy, both from the point of view of the works he has prepared and from His own Holy life

Eliminating the Uncertainties in Hydraulic and Ice Loads on Berm Breakwaters

A model for the computation of failure probabilities for partly reshaping mass-armored berm breakwaters in the Arctic is presented. The model consists of a reliable tool for the design of port structures in the rapidly changing Arctic environment and considers the simultaneous effects of wave and ice forces. The applied probabilistic approach was based on Bayesian inference. Hydrodynamic and ice historical data from Prudhoe Bay, Alaska were collected and analyzed to supply the Bayesian network with a large pool of information for the analysis. The model performed real-time predictions based on historical data and the user’s prior knowledge and assigned relevant values to load and resistance parameters. The predictive skill of the Bayesian network was validated with log-likelihood tests. Furthermore, the main outputs were applied for a Level III (fully probabilistic) reliability assessment of the structure. The study shows that a well-formulated Bayesian network can be a powerful tool in the design process and for the purpose of reliability analysis of coastal structures in highly unpredictable environments, such as the Arctic. The model can represent the dependencies between wave and ice loads in relation to the characteristics of the breakwater, as well as, its response. The average deviation of computed probabilities of failure relative to the prior estimates was 58.7%

CAPSELLA D5.2 Social Media Analysis Report

<p>This deliverable provides details regarding the CAPSELLA social media analysis platform (the social media channels and the insights extracted for specific communities). The document will be updated on a regular basis reflecting the developments on the platform and the CAPSELLA pilots.</p

Economics and Business

Sentiment analysis is increasingly viewed as a vital task both from an academic and a commercial standpoint. The majority of current approaches, however, attempt to detect the overall polarity of a sentence, paragraph, or text span, irrespective of the entities mentioned (e.g., laptops) and their aspects (e.g., battery, screen). SemEval-2014 Task 4 aimed to foster research in the field of aspect-based sentiment analysis, where the goal is to identify the aspects of given target entities and the sentiment expressed for each aspect. The task provided datasets containing manually annotated reviews of restaurants and laptops, as well as a common evaluation procedure. It attracted 163 submissions from 32 teams.

Exploring the 2′-Hydroxy-Chalcone Framework for the Development of Dual Antioxidant and Soybean Lipoxygenase Inhibitory Agents

2′-hydroxy-chalcones are naturally occurring compounds with a wide array of bioactivity. In an effort to delineate the structural features that favor antioxidant and lipoxygenase (LOX) inhibitory activity, the design, synthesis, and bioactivity profile of a series of 2′-hydroxy-chalcones bearing diverse substituents on rings A and B, are presented. Among all the synthesized derivatives, chalcone 4b, bearing two hydroxyl substituents on ring B, was found to possess the best combined activity (82.4% DPPH radical scavenging ability, 82.3% inhibition of lipid peroxidation, and satisfactory LOX inhibition value (IC50 = 70 μM). Chalcone 3c, possessing a methoxymethylene substituent on ring A, and three methoxy groups on ring B, exhibited the most promising LOX inhibitory activity (IC50 = 45 μM). A combination of in silico techniques were utilized in an effort to explore the crucial binding characteristics of the most active compound 3c and its analogue 3b, to LOX. A common H-bond interaction pattern, orienting the hydroxyl and carbonyl groups of the aromatic ring A towards Asp768 and Asn128, respectively, was observed. Regarding the analogue 3c, the bulky (-OMOM) group does not seem to participate in a direct binding, but it induces an orientation capable to form H-bonds between the methoxy groups of the aromatic ring B with Trp130 and Gly247