Rules Based Text Analysis to Monitor and Control Multiparty Access in Online Social Networks
R.Prem Kumar1, A.Rengarajan2, S.Hariharan3
1R.Prem Kumar, Research Scholar , Saveetha University ,Department of CSE, , Chennai ,India.
2A.Rengarajan Department of Computer Science and Engineering, Vel Tech Multi Tech Dr.RR Dr.SR Engineering College,Chennai ,India.
3S.Hariharan, Research Scholar, Saveetha University ,Department of CSE, , Chennai ,India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 2812-2816 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7000068819/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Text Analytics always depend on following the rules. Computers follow rules correctly. They do as they commanded continuously and efficiently. This is essential because a good text analytics program implements a large set of rules. People are affected from their discriminations grew in culture, education, age, gender and other environmental factors. People are flexible; they learn, adapt and change. A computer may be accurate to the rules and these rules can be evaluated on occasion and peoples can change these rules to redefine the results. The most in-discriminated person in the society is still human and therefore make mistakes. The word “hat” cannot be interpreted as “cat” and it is not easy to correct due to the error’s inconsistency and not able to predict all of the factors that lead to this error. One cannot recall everything – rules, definitions, cross references and relationships Discoveries in text analytics are more complex because of the problems of people such as consistency, objectivity, subjectivity and depth. But computers have been redefined to discover patterns in data. The amount of text created every day in social media needs monitoring and evaluation of text. A text analytics engine can immediately reveal the relationships between terms of feeling for or expressions of hostility against a given brand or product and estimate the significance of any change in those relationships.
Keyword: Networks Computers Monitor Analytics
Scope of the Article: High Speed Networks.