Results 31 to 40 of about 42,209 (169)
Applied Computational Intelligence and Soft ComputingDetecting sarcasm in text is notoriously difficult because it depends on subtle contextual cues that vary widely between communication styles. Informal language, such as satirical headlines, often signals sarcasm through exaggeration or playful wording ...
Mohammad Aman Ullah +3 more
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Data in Brief, 2019 This data article introduces a reproducibility dataset with the aim of allowing the exact replication of all experiments, results and data tables introduced in our companion paper (Lastra-Díaz et al., 2019), which introduces the largest experimental ...
Juan J. Lastra-Díaz +5 more
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Text Classification of News Using Transformer-based Models for Portuguese [PDF]
Journal of Systemics, Cybernetics and Informatics, 2022 This work proposes the use of a fine-tuned Transformers-based Natural Language Processing (NLP) model called BERTimbau to generate the word embeddings from texts published in a Brazilian newspaper, to create a robust NLP model to classify news in ...
Isabel N. Santana +2 more
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Aspect-Based Sentiment Analysis on Amazon Product Reviews
International Journal of Informatics, Information System and Computer Engineering, 2021 The focus of this paper was on Amazon product reviews. The goal of this is to study is two (NLP) for evaluating Amazon product review sentiment analysis. Customers can learn about a product's quality by reading reviews.
Muhammad Abubakar +2 more
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Comparative Analysis of Long Short-Term Memory Architecture for Text Classification
Ilkom Jurnal Ilmiah, 2023 Text classification which is a part of NLP is a grouping of objects in the form of text based on certain characteristics that show similarities between one document and another. One of methods used in text classification is LSTM.
Moh Fajar Abdillah, Kusnawi Kusnawi
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The Nature of NLP: Analyzing Contributions in NLP Papers
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)Natural Language Processing (NLP) is an established and dynamic field. Despite this, what constitutes NLP research remains debated. In this work, we address the question by quantitatively examining NLP research papers. We propose a taxonomy of research contributions and introduce NLPContributions, a dataset of nearly $2k$ NLP research paper abstracts ...
Pramanick, Aniket +3 more
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NLP for Precision Medicine [PDF]
Proceedings of ACL 2017, Tutorial Abstracts, 2017 We will introduce precision medicine and showcase the vast opportunities for NLP in this burgeoning field with great societal impact. We will review pressing NLP problems, state-of-the art methods, and important applications, as well as datasets, medical resources, and practical issues.
Hoifung Poon +3 more
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Scientific DataThe advancement of clinical natural language processing systems is crucial to exploit the wealth of textual data contained in medical records. Diverse data sources are required in different languages and from different sites to represent global health ...
Salvador Lima-López +7 more
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Twitter Sentiment Analysis Based on Daily Covid-19 Table in Turkey
Sakarya University Journal of Computer and Information Sciences, 2021 The coronavirus epidemic, which began to affect the whole world in early 2020, has become the most talked about agenda item by individuals. Individuals announce their feelings and thoughts through various communication channels and receive news from what
Buket Kaya, Abdullah Günay
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NLP Questions Answering Using DBpedia and YAGO [PDF]
Vietnam Journal of Computer Science, 2020 In this paper, we present results of employing DBpedia and YAGO as lexical databases for answering questions formulated in the natural language. The proposed solution has been evaluated for answering class 1 and class 2 questions (out of 5 classes ...
Tomasz Boiński +5 more
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