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Aman Ullah, Khairullah Khan, Aurangzeb Khan and Shoukat Ullah
The trend of E-commerce and online shopping is increasing rapidly. However, it is difficult to know about the quality of items from pictures and videos available on the online stores. Therefore, online stores and independent products reviews sites share ...
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Dauren Ayazbayev, Andrey Bogdanchikov, Kamila Orynbekova and Iraklis Varlamis
This work focuses on determining semantically close words and using semantic similarity in general in order to improve performance in information retrieval tasks. The semantic similarity of words is an important task with many applications from informati...
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Naglaa Abdelhady, Ibrahim E. Elsemman, Mohammed F. Farghally and Taysir Hassan A. Soliman
Due to the widespread distribution of coronavirus and the existence of a massive quantity of data on social networking sites, particularly Twitter, there was an urgent need to develop a model that evaluates users? emotions and determines how they feel ab...
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Xieling Chen, Fu Lee Wang, Gary Cheng, Man-Kong Chow and Haoran Xie
Massive open online courses (MOOCs) have exploded in popularity; course reviews are important sources for exploring learners? perceptions about different factors associated with course design and implementation. This study aims to investigate the possibi...
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Michael Yulianto,Abba Suganda Girsang,Reinert Yosua Rumagit
Electronic ticket (eticket) provider services are growing fast in Indonesia, makingthe competition between companies increasingly intense. Moreover, most of them have the sameservice or feature for serving their customers. To get back the feedback of the...
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Franti?ek Darena, Joná? Petrovský, Jan ?i?ka, Jan Prichystal
Pág. 95 - 110
The paper presents the result of experiments that were designed with the goal of revealing the association between texts published in online environments (Yahoo! Finance, Facebook, and Twitter) and changes in stock prices of the corresponding companies a...
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Gatis ?pats,Ilze Birzniece
Pág. 51 - 59
In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, seman...
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Adi Mulia,Akhmad Rizal Dzikrillah
Pág. 318 - 328
Penelitian ini dilakukan dengan tujuan yang didasarkan pada masalah yang muncul di masyarakat, yaitu kenaikan harga BBM. Metode klasifikasi sentimen yang diterapkan dalam penelitian ini adalah dengan menggunakan kamus korpus leksikon yang memperhitungkan...
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