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Prediction analysis on short data based social media communication
Pranali jyotiram jadhav,  Prof. Priya chandran
Predictive analysis use to detect the relationships and patterns in data in order to predict the future by analyzing the past and taking better preventive decisions. It is used to detect orientations and patterns in data by databases. In this case, the data is gathered from young people survey.
In this research, the comparison and classification between the original data and short data are used to predict the mindset of young people in future, for that some Machine learning techniques are commonly used to predict this situation. This research work mainly focused on finding the best classification algorithm based on different evaluation criteria like performance accuracy and root mean square error. We have performed a comparative study of the performance of machine learning algorithms Regression method, Bayes Classifier. The results show that Bayes Classifier is giving minimum root mean square error value compared to Regression Method.
Keywords- orientations and patterns, predictive, short data, original data, regression method, Bayes classifier.
Unique Identification Number - IJEDR1903011Page Number(s) - 57-61Pubished in - Volume 7 | Issue 3 | July 2019DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Pranali jyotiram jadhav,  Prof. Priya chandran,   "Prediction analysis on short data based social media communication"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.57-61, July 2019, Available at :http://www.ijedr.org/papers/IJEDR1903011.pdf