Social Communications using Big Data Applications
S. Prakashkumar1, I.S. Beschi2
1S. Prakashkumar, Assistant Professor/Department of Computer Science
Marudupandiyar College (Arts & Science), Trichy main Road, Pillayarpatti, Vallam Post, Thanjavur.
2I.S. Beschi, Research Scholar/Department of Computer Science Marudupandiyar College (Arts & Science), Trichy main Road, Pillayarpatti, Vallam Post, Thanjavur.
Manuscript received on 02 July 2019 | Revised Manuscript received on 09 July 2019 | Manuscript published on 30 July 2019 | PP: 3324-3326 | Volume-8 Issue-9, July 2019 | Retrieval Number: I9008078919/19©BEIESP | DOI: 10.35940/ijitee.I9008.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Social computing is interactive and collaborative behavior between computer users. Personal computing is an individual user activity in that one user generally commands computing. In social computing, the Internet allows users to interact through many mediums, including: Social computing is basically the use of a computer for social purposes. Before the Internet, computers were largely used as tools for increasing productivity. The Internet introduced a social element where users could network, share interests, publish personal insights and use their computers for more than just doing a job faster. Social computing can still benefit businesses synergistically if it is used for business purposes. Social computing can be used to market products and promote customer relations. Online marketing and viral marketing are two types of promotional advertising that have grown out of social computing.
Keywords: Big Data applications, Data mining, Data visualization, Machine learning algorithms, Natural language processing, Sentiment Analysis, Social computing, Social Intelligence.
Scope of the Article: Big Data