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Natural Language Processing (NLP)

 

Natural Language Processing (NLP) is a field of Artificial Intelligence (AI) that focuses on enabling computers to understand, interpret, and generate human language in a way that is both meaningful and useful.

It sits at the intersection of computer science, artificial intelligence, and computational linguistics.

Key Goals of NLP

The primary goal of NLP is to bridge the gap between human communication (natural language) and computer understanding. This involves:

• Understanding: Allowing machines to extract meaning, context, and intent from text and speech data.
• Generation: Enabling machines to produce coherent and grammatically correct text or speech in response to input.

Core NLP Tasks

NLP encompasses a wide range of tasks, which are often grouped into different levels of analysis:

1. Basic Processing (Preprocessing)

• Tokenization: Breaking text down into smaller units, like words or sentences (tokens).
• Stemming and Lemmatization: Reducing words to their root or base form (e.g., "running" → "run").

2. Syntactic Analysis (Structure)

• Part-of-Speech (POS) Tagging: Identifying the grammatical role of each word (noun, verb, adjective, etc.).
• Parsing: Analyzing the grammatical structure of a sentence to determine the relationships between words.

3. Semantic Analysis (Meaning)

• Word Sense Disambiguation (WSD): Determining the correct meaning of a word that has multiple meanings based on context (e.g., "bank" as a financial institution vs. a river bank).
• Named Entity Recognition (NER): Identifying and classifying named entities in text into predefined categories (e.g., names of people, organizations, locations, dates).

4. Pragmatic/Discourse Analysis (Context)

• Coreference Resolution: Identifying when two or more expressions in a text refer to the same entity.

Common Applications

NLP is integral to many technologies used daily, including:

Application	Description
Machine Translation	Automatically translating text or speech from one language to another (e.g., Google Translate).
Sentiment Analysis	Determining the emotional tone or opinion expressed in a piece of text (positive, negative, neutral).
Speech Recognition	Converting spoken language into written text (e.g., voice assistants like Siri or Alexa).
Text Summarization	Creating a concise and coherent summary of a longer document.
Chatbots and Virtual Assistants	Systems that can interact with users through natural language conversations.
Spell and Grammar Checkers	Systems that analyze text for errors and suggest corrections.

analisis puisi scopus

 

Kalau tujuannya artikel ilmiah untuk jurnal Scopus, analisis puisi yang dilakukan sebaiknya bukan sekadar “close reading” sederhana, tapi punya novelty, metodologi yang jelas, dan relevansi ilmiah. Dari tren publikasi, ada beberapa arah analisis puisi yang biasanya lebih berpeluang diterima:

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🔑 Tema Analisis Puisi yang Punya Peluang Tinggi

1. Analisis Puisi dengan Pendekatan Interdisipliner

   • Menghubungkan puisi dengan isu global: ekokritisisme, gender, migrasi, trauma, AI, digital culture.

   • Contoh: “Ekokritik dalam Puisi Kontemporer Asia: Refleksi atas Krisis Iklim”.

2. Puisi dan Identitas Sosial-Budaya

   • Bagaimana puisi merepresentasikan identitas nasional, etnis, gender, atau agama.

   • Contoh: “Representasi Identitas Diaspora dalam Puisi Pasca-kolonial”.

3. Analisis Komparatif

   • Membandingkan puisi lintas bahasa, negara, atau periode.

   • Contoh: “Perbandingan Imaji Laut dalam Puisi Romantik Inggris dan Sastra Maritim Nusantara”.

4. Analisis dengan Teori Sastra Mutakhir

   • Menggunakan teori poskolonial, feminisme, ekokritik, trauma studies, digital humanities.

   • Contoh: “Trauma Kolektif dan Ingatan dalam Puisi Pasca-Genosida”.

5. Digital Humanities dan Puisi

   • Menggunakan corpus analysis, text mining, atau AI tools untuk menganalisis pola bahasa puisi.

   • Contoh: “Analisis Komputasional Imaji Alam dalam Puisi Indonesia Modern”.

6. Puisi dan Pendidikan / Literasi

   • Mengkaji peran puisi dalam pembelajaran literasi, EFL/ESL, atau pembentukan karakter.

   • Contoh: “Integrating Poetry Analysis in EFL Classrooms to Enhance Critical Literacy”.

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⚖️ Faktor yang Membuat Artikel Berpeluang Diterima

• Novelty: jangan hanya membahas simbol/tema klasik, tapi hubungkan dengan isu kekinian.

• Theoretical Framework: gunakan teori mutakhir dan relevan.

• Metodologi: jelas (misalnya qualitative content analysis, corpus linguistics, discourse analysis).

• Kontribusi Ilmiah: artikel harus bisa memperluas diskusi akademik, bukan hanya deskripsi.

• Relevansi Global: lebih menarik jika kasus lokal (puisi Indonesia) dikaitkan dengan diskursus internasional.

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👉 Jadi, peluang tinggi ada pada analisis puisi yang:

• menggunakan pendekatan interdisipliner,

• membahas isu global,

• punya metodologi kuat,

• dan memberi kontribusi baru untuk studi sastra/linguistik/pendidikan.

Berikut beberapa contoh judul potensial untuk artikel analisis puisi yang berpeluang masuk jurnal Scopus, saya kelompokkan berdasarkan pendekatan:

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🔹 1. Isu Global & Interdisipliner

• Ekokritisisme dalam Puisi Kontemporer Asia: Representasi Krisis Iklim dan Kesadaran Ekologis

• Poetry of Migration: Identity, Displacement, and Belonging in Contemporary Diaspora Literature

• War, Trauma, and Memory: A Literary Analysis of Post-Conflict Poetry in Southeast Asia

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🔹 2. Gender & Poskolonial

• Feminist Voices in Contemporary Poetry: Deconstructing Gender Stereotypes through Literary Analysis

• Postcolonial Resistance in Poetry: Identity and Power in Indonesian and African Literary Works

• Rewriting the Nation: A Postcolonial Reading of Modern Indonesian Poetry

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🔹 3. Komparatif & Lintas Budaya

• Sea Imagery in Romantic English Poetry and Indonesian Maritime Literature: A Comparative Study

• Cross-Cultural Poetics: Symbolism and Identity in Japanese Haiku and Indonesian Short Poems

• Globalization and Local Identity: Comparative Analysis of Contemporary Poetry in English and Bahasa Indonesia

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🔹 4. Digital Humanities & Analisis Linguistik

• Corpus-Based Analysis of Nature Imagery in Modern Indonesian Poetry

• Exploring Intertextuality in Poetry through Digital Humanities Approaches

• AI-Assisted Literary Analysis: Computational Patterns in Contemporary Poetry

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🔹 5. Pendidikan & Literasi

• Integrating Poetry Analysis in EFL Classrooms to Enhance Critical Thinking and Cultural Literacy

• Teaching Global Citizenship through Poetry: A Study on Literary Pedagogy in Higher Education

• The Role of Poetry in Developing Emotional Intelligence and Character Education in Schools

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📌 Dari semua opsi ini, kategori isu global (ekokritik, migrasi, trauma) dan digital humanities (corpus/AI-based) biasanya lebih cepat menarik minat editor jurnal Scopus, karena novelty dan relevansinya tinggi.

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