Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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J1240
In these decades, digital communication and data which is collected in social media have been increased rapidly. Social network and social media have been presented the more updating compared to traditional media. Many approaches to analyze data in social media have been proposed. In this regards, data and information from social media should be provided as posts, comments in the text format. Using data and information from social media have some dissatisfaction including fake news, disinformation, comments lack of humanity, contrary to social standards. In this paper, we proposed a method to analyze text’s content in social media. Besides, we proposed a system to collect and analyze text’s content data in social media. In additional, we provide a model to orient social media and social network management.
Thi Thu Hang Do. 2018. \u201cInternet Content Analysis Techniques: Application in Social Media Management: Content Analysis Techniques from Text: Application in Social Media Management\u201d. Global Journal of Science Frontier Research - I: Interdisciplinary GJSFR-I Volume 18 (GJSFR Volume 18 Issue I2): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
Total Score: 105
Country: Unknown
Subject: Global Journal of Science Frontier Research - I: Interdisciplinary
Authors: Thi Thu Hang Do, Ngoc Oanh Nguyen, Quang Dieu Tran, Thu Ha Le, Thi Mai Lien Pham (PhD/Dr. count: 0)
View Count (all-time): 152
Total Views (Real + Logic): 3006
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Publish Date: 2018 12, Mon
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Neural Networks and Rules-based Systems used to Find Rational and
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In these decades, digital communication and data which is collected in social media have been increased rapidly. Social network and social media have been presented the more updating compared to traditional media. Many approaches to analyze data in social media have been proposed. In this regards, data and information from social media should be provided as posts, comments in the text format. Using data and information from social media have some dissatisfaction including fake news, disinformation, comments lack of humanity, contrary to social standards. In this paper, we proposed a method to analyze text’s content in social media. Besides, we proposed a system to collect and analyze text’s content data in social media. In additional, we provide a model to orient social media and social network management.
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