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The Intended Meaning of the Idiomatic Utterances Used in the Selected Speech of President Barack Obama in Addressing between the United States and Muslim Countries (Maksud yang Terkandung dalam Ungkapan-ungkapan Idiom yang Digunakan dalam beberapa Pilihan Nisa, Chilyatun; Samudji, Samudji; Diana, Sabta
Publika Budaya Vol 2, No 3 (2014): Nopember
Publisher : Publika Budaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (157.753 KB)

Abstract

Pemakaian Idiom digunakan dalam berbagai situasi, yakni situasi informal dan formal dalam pidato. Adapun tujuan penelitian ini diantaranya untuk meneliti beberapa tujuan komunikasi pembicara dan maksud tersirat idiom pada ungkapan metafor yang digunakan oleh pembicara dalam berpidato. Selanjutnya, penelitian ini membahas tentang penggunaan ungkapan idiom secara lebih jauh dalam konsep metafor. Konsep tersebut digunakan untuk membahas tentang beberapa tujuan pembicara yang menghubungkan antara sistem pemahaman dan pengalaman pembicara tersebut di dunia nyata. Objek kajian dalam penelitian ini adalah transkrip pilihan dari pidato Obama yang membahas tentang hubungan Amerika dan negara-negara Muslim. Teori konsep metafor diaplikasikan untuk menggambarkan ungkapan-ungkapan yang digunakan oleh Obama, khususnya idiom, yang mengacu pada hubungan negara-negara tersebut. Ungkapan idiom ini menghasilkan maksud tersirat, oleh karena itu peninjauan tindak tutur tak langsung dari teori yang digagas oleh Searle (dalam Yule, 1996) serta pelanggaran maksim yang digagas oleh Grice (dalam Levinson, 1983) dipakai untuk mencapai maksud dan tujuan Obama dalam menyampaikan pidato di negara-negara Muslim tersebut. Selanjutnya, teori pelanggaran maksim diaplikasikan untuk mengetahui beberapa maksud ungkapan idiom Obama. Dengan demikian, kajian konsep metafor (Kövecses, 2002) dan dua teori pendukung tersebut dipakai dalam penelitian ini. Kajian penelitian ini menggunakan metode kualitatif untuk menggambarkan dan menafsirkan ungkapan idiom dalam pidato tersebut. Dalam hasil penelitian ini dibuktikan bahwa Obama banyak menggunakan ekspresi idiom dalam berpidato. Ungkapan-ungkapan idiom tidak hanya digunakan untuk memperhalus gaya berpidato Obama, namun juga untuk mengungkapkan secara tidak langsung tujuan-tujuan komunikasi Obama dalam menyampaikan pidato di negara-negara Muslim. Kata Kunci: Idiom, Konsep metafor, Prinsip Koperatif, Pelanggaran maksim, Tindak tutur, Konteks situasi Abstract The use of idioms is applied in any situations, informal and formal situation of the speech. The aims of this research are to examine the speaker’s communicative purposes and implied meanings based on idiom in metaphorical expressions he used in delivering speech. Further, this research discusses more about the use of idiom in metaphorical concept. Such concept is used to treat the speaker’s intentions related to his perceptual system and experience with the real world. The transcripts of selected speech of Obama in addressing between the United States and Muslim countries are used as the objects. The theory of conceptual metaphor is applied to describe Obama’s idiomatic expressions to address the relationship between those countries. Since idioms generate intended meanings, the observations of indirect speech acts proposed by Searle (as cited in Yule, 1996) and maxims violation proposed by Grice (as cited in Levinson, 1983) are required to get the further interpretation. The theory of indirect speech acts is used to achieve the aims of Obama performing speeches in Muslim Countries. Further, violating maxims are treated to explore the implied meanings of Obama’s idiomatic expressions. Thus, the study of conceptual metaphor (Kövecses, 2002) and two supporting theories of speech acts and maxims violation are conducted in this research. This study employs qualitative research to describe and to interpret the idiomatic utterances in Obama’s speeches. The result of this research proved that Obama uses many idiomatic expressions in his speeches. The idiomatic expressions are used not only to refine the rhetorical style in his speeches, but also to imply Obama’s communicative purposes in delivering speech in Muslim Countries. Keywords: Idiom, Conceptual metaphor, Cooperative Principle, Flouting maxims, Speech acts, Context of situation
Content and Network Feature in Attention-based Neural Network for Stance Detection on COVID-19 Vaccination Tweets Bimantara, I Made Satria; Irdayanti, Marina; Nisa, Chilyatun; Purwitasari, Diana
JOIV : International Journal on Informatics Visualization Vol 9, No 1 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.1.2671

Abstract

Stance detection in COVID-19 vaccination utilizing tweets is crucial for several reasons, such as public health communication, monitoring vaccine sentiment, and identifying misinformation. This research aims to explore the use of attention-based neural networks for stance detection in Indonesian COVID-19 vaccination tweets. The research focuses on enhancing accuracy by integrating content and network features. The content features represent the tweet's text, while network features define the user account's following or unfollowing. The primary contribution of this research is the development of an Attention Long Short-Term Memory (AttLSTM) model for stance detection in Indonesian tweets related to the COVID-19 vaccination. This model combines content and network features to improve accuracy in classifying user attitudes. We also highlight the performance differences between Word2Vec and FastText for numerical text representation in the AttLSTM model. The research used the Indonesian COVID-19 vaccination-related tweet dataset from prior research. The dataset is extracted using user metadata to obtain content and network features necessary to represent users' interest in tweets. Our research method involves data preparation, preprocessing, extraction of content and network features, and the development of an AttLSTM model. By integrating content and network features into the AttLSTM model with Word2Vec text representation, the study demonstrates superior performance compared to the LSTM baseline model and FastText. Adding attention mechanisms to the baseline LSTM model can capture crucial information, such as the minority class inside a tweet's text. Future research will involve exploring advanced data processing methods and ensemble learning techniques to further improve the model's performance.