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Shelley Gupta, Archana Singh and Vivek Kumar
Virtual users generate a gigantic volume of unbalanced sentiments over various online crowd-sourcing platforms which consist of text, emojis, or a combination of both. Its accurate analysis brings profits to various industries and their services. The sta...
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Nane Kratzke
Background: This study presents a graph-based, macro-scale, polarity-based, echo chamber detection approach for Twitter. Echo chambers are a concern as they can spread misinformation, and reinforce harmful stereotypes and biases in social networks. Metho...
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Maxat Toishimanov, Meruyet Nurgaliyeva, Assiya Serikbayeva, Zhulduz Suleimenova, Karima Myrzabek, Aksholpan Shokan and Nurgul Myrzabayeva
Here, we present the results of analyzing the fatty acid composition of the main edible vegetable oils from Kazakhstani oilseed producers (safflower, sunflower, maize (corn), linseed, cottonseed, soybean and rapeseed) in comparison with the known fatty a...
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Xing Liu, Fupeng Wei, Wei Jiang, Qiusheng Zheng, Yaqiong Qiao, Jizong Liu, Liyue Niu, Ziwei Chen and Hangcheng Dong
Existing methods for monitoring internet public opinion rely primarily on regular crawling of textual information on web pages but cannot quickly and accurately acquire and identify textual information in images and videos and discriminate sentiment. The...
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Ranjan Satapathy, Shweta Rajesh Pardeshi and Erik Cambria
In recent years, deep learning-based sentiment analysis has received attention mainly because of the rise of social media and e-commerce. In this paper, we showcase the fact that the polarity detection and subjectivity detection subtasks of sentiment ana...
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Jie Zhao, Fangwei Xiong and Peiquan Jin
Microblogs are one of the major social networks in people?s daily life. The increasing amount of timely microblog data brings new opportunities for enterprises to predict short-term product sales based on microblogs because the daily microblogs posted by...
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Yun Peng and Jianmei Wang
This study aims to explore the time series context and sentiment polarity features of rumors? life cycles, and how to use them to optimize the CNN model parameters and improve the classification effect. The proposed model is a convolutional neural networ...
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Sandra Rizkallah, Amir F. Atiya and Samir Shaheen
Embedding words from a dictionary as vectors in a space has become an active research field, due to its many uses in several natural language processing applications. Distances between the vectors should reflect the relatedness between the corresponding ...
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Kristina A. Malsagova, Tatyana O. Pleshakova, Rafael A. Galiullin, Ivan D. Shumov, Andrey F. Kozlov, Tatyana S. Romanova, Vladimir P. Popov, Alexander V. Glukhov, Vladimir A. Konev, Alexander I. Archakov and Yuri D. Ivanov
Herein, we have demonstrated highly sensitive real-time biospecific detection of a protein marker of hepatitis C?the core antigen of hepatitis C virus (HCVcoreAg)?using a nanowire (NW) biosensor. The primary element of the NW-biosensor is a chip with p-t...
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Chiara Zucco, Clarissa Paglia, Sonia Graziano, Sergio Bella and Mario Cannataro
While several studies have shown how telemedicine and, in particular, home telemonitoring programs lead to an improvement in the patient?s quality of life, a reduction in hospitalizations, and lower healthcare costs, different variables may affect telemo...
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