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Aliya Jangabylova, Alexander Krassovitskiy, Rustam Mussabayev and Irina Ualiyeva
The documents similarity metric is a substantial tool applied in areas such as determining topic in relation to documents, plagiarism detection, or problems necessary to capture the semantic, syntactic, or structural similarity of texts. Evaluated result...
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Korawit Orkphol and Wu Yang
Words have different meanings (i.e., senses) depending on the context. Disambiguating the correct sense is important and a challenging task for natural language processing. An intuitive way is to select the highest similarity between the context and sens...
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Marcos Orellana, Patricio Santiago García, Guillermo Daniel Ramon, Jorge Luis Zambrano-Martinez, Andrés Patiño-León, María Verónica Serrano and Priscila Cedillo
Health problems in older adults lead to situations where communication with peers, family and caregivers becomes challenging for seniors; therefore, it is necessary to use alternative methods to facilitate communication. In this context, Augmentative and...
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Eduardo Cibrián, Jose María Álvarez-Rodríguez, Roy Mendieta and Juan Llorens
The use of different techniques and tools is a common practice to cover all stages in the development life-cycle of systems generating a significant number of work products. These artefacts are frequently encoded using diverse formats, and often require ...
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Lal Khan, Ammar Amjad, Kanwar Muhammad Afaq and Hsien-Tsung Chang
Sentiment analysis (SA) has been an active research subject in the domain of natural language processing due to its important functions in interpreting people?s perspectives and drawing successful opinion-based judgments. On social media, Roman Urdu is o...
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Musarat Karim, Malik Muhammad Saad Missen, Muhammad Umer, Saima Sadiq, Abdullah Mohamed and Imran Ashraf
Citation creates a link between citing and the cited author, and the frequency of citation has been regarded as the basic element to measure the impact of research and knowledge-based achievements. Citation frequency has been widely used to calculate the...
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Amna Dridi, Mohamed Medhat Gaber, Raja Muhammad Atif Azad and Jagdev Bhogal
The study of the dynamics or the progress of science has been widely explored with descriptive and statistical analyses. Also this study has attracted several computational approaches that are labelled together as the Computational History of Science, es...
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Andrey Bogdanchikov, Dauren Ayazbayev and Iraklis Varlamis
The rapid development of natural language processing and deep learning techniques has boosted the performance of related algorithms in several linguistic and text mining tasks. Consequently, applications such as opinion mining, fake news detection or doc...
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Gianfranco Lombardo, Michele Tomaiuolo, Monica Mordonini, Gaia Codeluppi and Agostino Poggi
In the knowledge discovery field of the Big Data domain the analysis of geographic positioning and mobility information plays a key role. At the same time, in the Natural Language Processing (NLP) domain pre-trained models such as BERT and word embedding...
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Fantahun Gereme, William Zhu, Tewodros Ayall and Dagmawi Alemu
The need to fight the progressive negative impact of fake news is escalating, which is evident in the strive to do research and develop tools that could do this job. However, a lack of adequate datasets and good word embeddings have posed challenges to m...
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Tulu Tilahun Hailu, Junqing Yu and Tessfu Geteye Fantaye
Text summarization is a process of producing a concise version of text (summary) from one or more information sources. If the generated summary preserves meaning of the original text, it will help the users to make fast and effective decision. However, h...
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Michael Mesfin Tadesse, Hongfei Lin, Bo Xu and Liang Yang
Suicide ideation expressed in social media has an impact on language usage. Many at-risk individuals use social forum platforms to discuss their problems or get access to information on similar tasks. The key objective of our study is to present ongoing ...
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KyoHoon Jin, JeongA Wi, KyeongPil Kang and YoungBin Kim
Historical documents refer to records or books that provide textual information about the thoughts and consciousness of past civilisations, and therefore, they have historical significance. These documents are used as key sources for historical studies a...
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Asmaa M. Aubaid and Alok Mishra
With the growth of online information and sudden expansion in the number of electronic documents provided on websites and in electronic libraries, there is difficulty in categorizing text documents. Therefore, a rule-based approach is a solution to this ...
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Qicai Wang, Peiyu Liu, Zhenfang Zhu, Hongxia Yin, Qiuyue Zhang and Lindong Zhang
As a core task of natural language processing and information retrieval, automatic text summarization is widely applied in many fields. There are two existing methods for text summarization task at present: abstractive and extractive. On this basis we pr...
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Davor Lauc
Representation and reasoning with temporal data is a well-researched problem in logic and computer science. Although many practical applications need the representation of inexact dates and reasoning with such representations, there is no standard develo...
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Mohammed N. A. Ali, Guanzheng Tan and Aamir Hussain
Recurrent neural network (RNN) has achieved remarkable success in sequence labeling tasks with memory requirement. RNN can remember previous information of a sequence and can thus be used to solve natural language processing (NLP) tasks. Named entity rec...
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Mohammed N. A. Ali, Guanzheng Tan and Aamir Hussain
Recurrent neural network (RNN) has achieved remarkable success in sequence labeling tasks with memory requirement. RNN can remember previous information of a sequence and can thus be used to solve natural language processing (NLP) tasks. Named entity rec...
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Kang Yang, Kamal Al-Sabahi, Yanmin Xiang and Zuping Zhang
Extractive summarization aims to produce a concise version of a document by extracting information-rich sentences from the original texts. The graph-based model is an effective and efficient approach to rank sentences since it is simple and easy to use. ...
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Sicong Kuang and Brian D. Davison
Twitter is a popular source for the monitoring of healthcare information and public disease. However, there exists much noise in the tweets. Even though appropriate keywords appear in the tweets, they do not guarantee the identification of a truly health...
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