Resolving ambiguity in natural language for enhancement of aspect-based sentiment analysis of hotel reviews by Asma Nadeem, Malik Muhammad Saad Missen, Mana Saleh Al Reshan, Muhammad Ali Memon, Yousef Asiri, Muhammad Ali Nizamani, Mohammad Alsulami, Asadullah Shaikh

“…Moreover, we explore different similarity measures and find that cosine similarity yields the best results when identifying the real sense of a word in a given sentence using WordNet. The findings of our work and future work related to our work create lots of interest for people in the tourism and hospitality industry. …”
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A BERT-Based Classification Model: The Case of Russian Fairy Tales by Валерий Дмитриевич Соловьев, Марина Ивановна Солнышкина, Andrey Ten, Николай Аркадиевич Прокопьев

“…Our experiments with cointegrated/rubert-tiny, ai forever/ruBert-base, and DeepPavlov/rubert-base-cased-sentence on different classification tasks demonstrate that our models achieve state-of-the-art results with the best accuracy of 95.9% in cointegrated/rubert-tiny thus outperforming the other two models by a good margin. …”
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Natural language processing to identify suicidal ideation and anhedonia in major depressive disorder by L. Alexander Vance, Leslie Way, Deepali Kulkarni, Emily O. C. Palmer, Abhijit Ghosh, Melissa Unruh, Kelly M. Y. Chan, Amey Girdhari, Joydeep Sarkar

“…A novel transformer architecture-based NLP model was trained on clinical notes to recognize linguistic patterns and contextual cues. Each sentence was categorized into one of four labels: (1) anhedonia; (2) suicidal ideation without intent or plan; (3) suicidal ideation with intent or plan; (4) absence of suicidal ideation or anhedonia. …”
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Penerapan Metode Extreme Programming pada Rancang Bangun Sistem Analisis Sentimen Portal Berita by I Gede Bagus Premana Putra, Made Sudarma, Ida Bagus Gede Manuaba

“…The sentiment analysis system can be developed using various techniques and services, one of which’s by integrating the Google NLP system and service, which already has a service to determine the sentiment score of each given sentence, as well as the application of a web scrapping techniques as a method for data collection. …”
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THE STORY OF DISTURBANCE IN THE QUR’AN: A STUDY OF THE TAFSIR AL-MISHBAH BY M. QURAISH SHIHAB by Febri Wardani, Roihatul Jannah Siagian, Muhammad Rizqi

“…Maryam [19]: 19-28, due to the influence of the accusation sentence, is the story of the Prophet Moses and the magicians. …”
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Img2Vocab: Explore Words Tied to Your Life With LLMs and Social Media Images by Kanta Yamaoka, Ko Watanabe, Koichi Kise, Andreas Dengel, Shoya Ishimaru

“…We prototyped an online vocabulary exploration system, which displays a learner’s selected photos from their Instagram along with a generated sentence using image recognition and a language model, GPT-3. …”
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Lecture poétique des langues locales : cas de Nyanndra Mun (Proverbes) du Roi Salomon by Koffi Samuel N’ZI & Kouamé Gilles YAO

“…Dans cette perspective, nous sommes parvenus, au regard des principes des poétiques internes et des genres, au résultat que Nyanndra Mun de Salomon allie harmonieusement spiritualité et substance générique non sans les prescriptions et recommandations divines également articulées par les catégories formelles de la narration, la poésie et celles des sous genres oraux dont le dicton, la maxime et la sentence.   Mots-clés : Langue locale, Nyanndra Mun, poétique, genres écrits et oraux [1] Le baoulé est une langue et une branche, tout comme les Akan lagunaires et Agni, de la grande famille Akan venue du Ghana qui occupe géographiquement les parties Sud, Centre et Est de la Côte d’Ivoire…”
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Investigating Maps of Science Using Contextual Proximity of Citations Based on Deep Contextualized Word Representation by Muhammad Roman, Abdul Shahid, Shafiullah Khan, Lisu Yu, Muhammad Asif, Yazeed Yasin Ghadi

“…The extra information provides the context of a word within a sentence. We have, therefore, used contextual word representation, which is trained through deep neural networks. …”
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Analisis Sentimen Wacana Pemindahan Ibu Kota Indonesia Menggunakan Algoritma Support Vector Machine (SVM) by Primandani Arsi, Retno Waluyo

“…Sentiment analysis is a process of extracting, understanding and processing unstructured data to get sentiment information which is found in an opinion sentence. Application of sentiment analysis using machine learning methods shows that there are several methods that are often used. …”
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Réprimer par le droit : L’intervention de la Brigade nationale de police judicaire dans les procès du Hirak El-Rif by Mariam Benalioua

“…Accused of "undermining state security", the arrested activists, considered to be the movement's leaders, were sentenced to between 5 and 20 years in prison. Based on interviews with pardoned ex-detainees and lawyers, analysis of court documents, reports by the Equity and Reconciliation Commission (IER), and a press review of all media appearances by BNPJ directors, this article examines how this brigade repressed political dissent. …”
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Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network by Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo

“…The use of classical machine learning methods that have been widely applied to sentiment analysis ignoring the importance of the word order in a sentence. Deep Convolutional Neural Network algorithm is offered to answer these problems by carrying out convolution operations using filters as large as window size to get features based on word order. …”
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Informal Caregivers Connecting on the Web: Content Analysis of Posts on Discussion Forums by Michelle L Foster, Chinenye Egwuonwu, Erin Vernon, Mohammad Alarifi, M Courtney Hughes

“…Posts ranged in length from a sentence to more than 500 words. Domains identified included handling interpersonal challenges, navigating complicated systems, gathering tactical coping strategies, managing emotions, and connecting with others in similar situations. …”
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Pembentukan Daftar Stopword Menggunakan Term Based Random Sampling Pada Analisis Sentimen Dengan Metode Naïve Bayes (Studi Kasus: Kuliah Daring Di Masa Pandemi) by Raditya Rinandyaswara, Yuita Arum Sari, Muhammad Tanzil Furqon

“…Abstract Stopword Removal is part of the text preprocessing stage which aims to remove irrelevant words in a sentence based on the stopword list. The stopword list that is commonly used is in the form of a digital library whose list is already available, but not all words contained in the digital library are irrelevant words in certain data. …”
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Otomatisasi Pembangkitan Pertanyaan untuk Bahasa Indonesia (Systematic Literature Review) by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…For examples about datasets, question models, handling unstructured sentence models, and generating questions from a combination of some information. …”
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«HO CAPITO! LA FRASE È COME UN’ORCHESTRA E IL VERBO È IL DIRETTORE D’ORCHESTRA!» GRAMMATICA VALENZIALE ALLA SCUOLA SECONDARIA DI I GRADO. by Miriam Flora Gnech

“…Favorevoli sono stati i feedback degli studenti, che si sono dimostrati interessati e coinvolti, salvo rare (e naturali) eccezioni, a riprova di come questo modello si dimostri maggiormente stimolante e motivante, anche grazie all’uso di rappresentazioni grafiche, colori ed attività che prevedono una partecipazione attiva degli studenti. ‘I understand! the sentence is like an orchestra and the verb is the conductor!’ …”
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MathVision: An Accessible Intelligent Agent for Visually Impaired People to Understand Mathematical Equations by Muhammad Awais Ahmad, Tauqir Ahmed, Muhammad Aslam, Amjad Rehman, Faten S. Alamri, Saeed Ali Bahaj, Tanzila Saba

“…Our text-to-speech system takes input in the form of a natural language sentence generated by the LSTM model and converts it to the voice. …”
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Analisis Sentimen Bahasa Indonesia pada Twitter Menggunakan Struktur Tree Berbasis Leksikon by Feby Tri Saputra, Yani Nurhadryani, Sony Hartono Wijaya, Defina Defina

“…This study uses a tree structure as an interpretation of the relationship between words in a sentence. The tree structure is constructed by adding words to the lexicon sentiment. …”
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Automatic Recognition of Authors Identity in Persian based on Systemic Functional Grammar by Fatemeh Soltanzadeh, Azadeh Mirzaei, Mohammad Bahrani, Shahram Modarres Khiabani

“…Function words, which have limited meanings, indicate the functional relationships between components of a sentence. Golshaie (2019) and Dabagh (2007) applied the frequency of Persian function words to identify authors. …”
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Call for Papers: Constitutions and Intergenerational Justice by IF and FRFG

“…Thomas Paine sided with Jefferson and formulated the following famous sentence: ‘Every age and generation must be as free to act for itself in all cases as the ages and generations which preceded it.’ …”
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