Gender Classification for Intent analysis in Business Intelligence

Data is the important component in the business intelligence. Internet is the one where it constitutes the huge amount of the data in the form of customer reviews, customer feedback etc., and Gender classification is one of the crucial step for identifying intent of the user. This paper proposed a method for classifying gender and identifying the accuracy of the classification using decision tree, random forest, logistic regression, Support Vector Classifier. Classification purpose Scikit learn is used in this paper. Scikit-learn is a simple and efficient tool for data mining and data analysis. It is built on NumPy, SciPy, and matplotlib. The paper includes advantages of the proposed technique and concludes with the challenges for the marketers when using this technique in their market survey.