Machine Learning in Data Normalisation-Emplybility of Supervised Classification Techniques in Content Categorisation Using Machine Learning Algorithms for Enhancing Unwanted Social Networking Data
Sahil Kapoor
Amity Int School, Sec-6, Vasundhara, Ghaziabad
9-17
Vol: 8, Issue: 4, 2018
Receiving Date:
2018-08-09
Acceptance Date:
2018-10-05
Publication Date:
2018-10-10
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Abstract
Now a day, it is very risky to filter the unwanted data in social networks. Data is generally in the form of text majority in the social networks. There are different algorithms available to classify the text in the social networks. Machine Learning based algorithms can be applied to text for filtering unwanted text in Social Networks very accurately than existing algorithms. Machine Learning based Algorithms gives best content order and marking the content through productive component determination. Content Categorization is the imperative advance in machine learning calculations. In this paper, a survey on different machine learning content grouping systems has been presented. Different supervised classification techniques of text mining have been discussed in this paper.
Keywords:
Text Mining; Machine Learning based algorithms; unwanted data; Social Networks
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