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This thesis explores the classification of emotions in song lyrics, using automatic approaches applied to a novel corpus of 100 popular songs. I use crowd sourcing via Amazon Mechanical Turk to collect line-level emotions annotations for this collection of song lyrics.  I then build classifiers that rely on textual features to automatically identify the presence of one or more of the following six Ekman emotions: anger, disgust, fear, joy, sadness and surprise. I compare different classification systems and evaluate the performance of the automatic systems against the manual annotations. I also introduce a system that uses data collected from the social network Twitter. I use the Twitter API to collect a large corpus of tweets manually labeled by their authors for one of the six emotions of interest. I then compare the classification of emotions obtained when training on data automatically collected from Twitter versus data obtained through crowd sourced annotations.

Deserts! Have Known contains a scholarly preface exploring why writers write, examining the characteristics offictionwriters, and addressing the importance of place, both emotional and geographical, in fiction. Four original short stories are included in this thesis. "Miracle at Mita" depicts an aging surfer trying to overcome his fear of commitment. "Coyote Man" explores a father's guilt and the isolation resulting from that guilt. "Time, and Time Again" traces a young woman's fear of marriage to her memory of her parents' relationship, and "Paraplegia" examines a young woman immobilized by her own lack of self-esteem. These stories are connected through their themes of isolation and reconnection.

Thesis advisor: Richard Lennan / Thesis advisor: J. Randy Sachs / Thesis (STL) — Boston College, 2018. / Submitted to: Boston College. School of Theology and Ministry. / Discipline: Sacred Theology.

Thesis (Ed.D.)--Boston University

An EEG experiment was design to test the influence of level of proficiency on processing of emotion content between languages in a sample of Spanish-English bilinguals divided by proficiency levels between two groups of bilinguals, one group of balanced (n=23) and another of unbalanced bilinguals (n=26). The participants rated words in three categories (negative, neutral, and positive) in terms of emotional valence in English and Spanish while EEG was recorded. Event-related potentials were calculated for two components related to emotion processing: the early posterior negativity (EPN) and the late positive complex LPC. 2 (Bilingual group) x 2 (language) x 3 (valence) x 3 (electrode) analyses were conducted on each component, separately for latency and amplitude. The results for the EPN latency indicated a marginally significant valence effect, with emotion words presenting shorter latencies than neutral words across conditions indicating a processing advantage of emotion content in both languages. The EPN amplitude also reflected the effect of valence, with larger amplitudes both emotion categories than for neutral words. The overall EPN amplitude was larger in Spanish than in English for both bilingual groups across valence categories. The LPC latency was longer in English than in Spanish for both bilingual groups, possibly related to Spanish being identified as native language in most of the sample. The LPC amplitude was larger for negative than for emotion than for neutral words for both groups in English and in Spanish for the Balanced group. The Unbalanced group, however, presented larger for positive than for neutral, and for neutral than for negative words. These results suggest that the Balanced and Unbalanced groups process emotion content similarly in English, but differently in Spanish. The Valence effects were consistent across languages for the Balanced group, but not for the Unbalanced group which might reflect an attenuation of the valence effect for negative words in Spanish for this group, and could indicate weaker emotional reactivity to negative words in the less proficient language. / Includes bibliography. / Dissertation (Ph.D.)--Florida Atlantic University, 2018. / FAU Electronic Theses and Dissertations Collection

Thesis (Ed.D.)--Boston University

Digitized by Kansas Correctional Industries

Keywords: emotion, gratitude, social dilemma, cooperation / The emergence of the positive psychology movement has inspired research on positive emotions over the years; yet, several constructs have received limited attention. One of such is gratitude. Research has demonstrated that gratitude leads to prosocial behaviors, such as the engagement in effortful assistance to others, or involving in gift-exchanges in dyadic relationships. However, few studies have directly examined the effects of gratitude on cooperation, particularly, in a social dilemma context. Therefore, the current research aims at investigating the impact of gratitude on cooperative behaviors in a public good game. Traditional methodology in emotion research induces emotions exogenously, i.e. with the use of recall procedures, imagination of scenarios or video clips. Here, a new methodology is introduced where the emotion of gratitude is induced endogenously, within a public good game. Using this new induction procedure, it was found that endogenous gratitude motivated cooperative behaviors. In addition, it was also of interest to investigate the potential influences of contextual factors on the gratitude-cooperation linkage. Studies were systematically conducted to examine three contextual variables, namely; human contact through handshaking, threat of exclusion, and perspective-taking through empathy induction. Results across the four studies suggest that the emotion of gratitude acts as a motivator for cooperative behaviors in the presence of an exclusion option and empathy induction. / Leung, Hildie. / Advisers: Winton Wing-tung Au; Darius Kwan-shing Chan. / Source: Dissertation Abstracts International, Volume: 73-06, Section: B, page: . / Thesis (Ph.D.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (leaves 72-85). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstract also in Chinese.