The Roles of Attitude in The Storyline of Beauty and The Beast (2017) Movie (Systemic Functional Linguistics Approach)

<p>This research is about analyzing the attitude used by the script writer in Beauty and The Beast (2017) movie. It is aimed to find the roles of attitude in giving the characterizations in the movie and the roles of attitude in building the narrative text in the movie using systemic functional linguistics approach.</p><p>This research is a descriptive qualitative research, implementing descriptive comparative method with discourse analysis. The source of the data is the utterances from the characters. Primary data were also collected applied genre relation, characterization theory and systemic functional linguistics, especially appraisal theory. In analyzing the data applied Miles &amp; Hubberman’ s (1992) interactive model with Spradley’s (1980) ethnographic steps which include domain, taxonomy, componential, and cultural context analysis.</p><span>The results of this research show the findings: (1) attitude takes roles in giving direct and indirect characterizations in the form of physical description, action, emotional and physical reaction, thought, speech, (2) In building the narrative text, affect takes roles to express the characters’ emotional feeling, judgement is used to describe and evaluate the characters’ behavior, and appreciation is used to describe the character’s physical appearance, the setting of place of the story and to give an abstract valuation. </span>

Inflated 3D ConvNet context analysis for violence detection

According to the Wall Street Journal, one billion surveillance cameras will be deployed around the world by 2021. This amount of information can be hardly managed by humans. Using a Inflated 3D ConvNet as backbone, this paper introduces a novel automatic violence detection approach that outperforms state-of-the-art existing proposals. Most of those proposals consider a pre-processing step to only focus on some regions of interest in the scene, i.e., those actually containing a human subject. In this regard, this paper also reports the results of an extensive analysis on whether and how the context can affect or not the adopted classifier performance. The experiments show that context-free footage yields substantial deterioration of the classifier performance (2% to 5%) on publicly available datasets. However, they also demonstrate that performance stabilizes in context-free settings, no matter the level of context restriction applied. Finally, a cross-dataset experiment investigates the generalizability of results obtained in a single-collection experiment (same dataset used for training and testing) to cross-collection settings (different datasets used for training and testing).

Context Analysis of Non-intellective Correlates affecting Future Educators’ Sociolinguistic Competence

The study investigated the non-intellective correlates affecting the sociolinguistic competence of teacher education students, with a focus on the analysis of their contexts relative to social experiences, language attitude, and use of linguistic forms in different situations. It also determined the common difficulties they experience in the use of English in both oral and written forms. Descriptive mixed methods were utilized, with a validated questionnaire serving as primary instrument to gather relevant data from 331 teacher education students from different fields of specialization. Focus group discussions were conducted to activate the students’ awareness of non-intellective correlates and extract emerging issues in language use. The analysis of the quantitative data together with the coded and categorized transcriptions revealed that while the students generally have a positive attitude towards the use of the English language, they rarely use varied linguistic forms adaptive to different social contexts, implying the need to work on their adaptive capacities in using English for various purposes. Most of the issues they encounter are psychological and socio-physical in nature, while limited vocabulary, over-consciousness in grammar use, and lack of confidence affect their skills most. It was recommended that contextualized activities be developed for integration in the communication courses to highlight the authentic use of language in different social contexts.

Two-stage technology of automated terminology extraction based on topic modeling and context analysis

The paper deals with the task of automated terminology extraction. A two-stage technology for its solution is proposed, based on topic modeling and analyzing the context of the use of lexical units. The results of experimental verification of the technology and the prospects for its further development are presented.

Implementation of User Centered Design Method on e-Catalog Information System of UMKM in South Aceh Agency

The utilization of digital technology produces efficiency, effectiveness and accountability that can support the UMKM (Usaha Mikro, Kecil, Menengah) so that the Regional Government (PEMDA) in this case the Koperasi and UKM Office of South Aceh agency can contribute in providing services and education for UMKM which are expected to be able to improve productivity and profit of UMKM in their region. To using of the UCD (User Centered Design) model involves the user in the development process. This study focuses on the implementation of the use of the UCD development model after going through the evaluation process of the user context, analysis and design of solutions based on recommendations from users. Based on the evaluation results, it is known that the implementation of UCD method to the system have a good response from users.

A Generalized Method for Sentiment Analysis across Different Sources

Sentiment analysis is widely used in a variety of applications such as online opinion gathering for policy directives in government, monitoring of customers, and staff satisfactions in corporate bodies, in politics and security structures for public tension monitoring, and so on. In recent times, the field met with new set of challenges where new algorithms have to contend with highly unstructured sources for sentiment expressions emanating from online social media fora. In this study, a rule and lexical-based procedure is proposed together with unsupervised machine learning to implement sentiment analysis with an improved generalization ability across different sources. To deal with sources devoid of syntactic and grammatical structure, the approach incorporates a ruled-based technique for emoticon detection, word contraction expansion, noise removal, and lexicon-based text preprocessing using lexical features such as part of speech (POS), stop words, and lemmatization for local context analysis. A text is broken into number of tokens with each representing a sentence and then lexicon-dependent features are extracted from each token. The features are merged together using a combining function for a given text before being used to train a machine learning classifier. The proposed combining functions leverage on averaging and information gain concepts. Experimental results with different machine leaning classifiers indicate that improved performance with great deal of generalization capacity across both structured and nonstructured sources can be realized. The finding shows that carefully designed lexical features reinforce learning process in unsupervised learning more than using word embeddings alone as the features. Obtained experimental results from movie review dataset (recall = 74.9%, precision = 70.9%, F1-score = 72.9%, and accuracy = 72.0%) and twitter samples’ datasets (recall = 93.4%, precision = 89.5%, F1-score = 91.4%, and accuracy = 91.1%) show the efficacy of the proposed approach in comparison with other state-of-the-art research studies.

Pengembangan Butir Soal Literasi Kimia pada Materi Sistem Koloid Kelas XI IPA SMA/MA

This study aims to develop a chemical literacy instrument on colloidal system material that can be used to measure the literacy level of students. The research design on the development of this chemical literacy instrument uses the Model of Educational Reconstruction (MER). This research has several stages including content structure analysis (curriculum analysis, content analysis, context analysis, content validity by subject matter experts) and teaching and learning research (student interview investigation). The content validity test is carried out by five validators and the results will be analyzed by the Rasch model using the facet application. The results of this study indicate that the value of exact agreements is 88.9%, while the value of the expected agreements is 89.6% so it can be said that the results of the examiner's assessment are not much different from the expected results of the assessment

The Choreomusical Page-to-Stage Approach: Visual Representations of Musical Modernism Through the Works of Igor Stravinsky and George Balanchine

<p>The musical developments of the Modernist period provided a new understanding and approach to composition. These developments are also seen in ballet, branching into several styles, with many choreographers providing their unique take to staging musical works. In this study, the modernist choreomusical relationship is examined with respect to the possibility of a page-to-stage approach in dance. This thesis examines how this approach is manifested in the complex relationships between the composer, and the choreographer. Drawing on nine examples of modernist era ballets categorised in to three styles (classical, neoclassical, and contemporary ballets), discussion of historical context, analysis of the musical and choreographic relationship, and other ideas surrounding adapting music for a visual medium are explored. This thesis also examines changing attitudes to music/dance relationships. Two lines of enquiry are followed, the first assesses, through the example of Stravinsky, Balanchine, and several other contemporaries, whether a page-to-stage approach exists for ballet. A supplementary enquiry explores how such an approach is manifested within different methods of choreography. This study finds that there are difficulties in applying the choreomusical page-to-stage approach to analysing changing attitudes to music/dance relationships. At another level, this study points to the benefit of incorporating the concept of diegesis in analysing the changing attitudes to music/dance relationships.</p>