Classification
Support Vector Machine
Support Vector Machine Description SVM belongs to the family of supervised classification algorithms. It uses the kernel trick to transform data into the desired format and creates an optimum boundary between the possible outputs. SVM performs ...
Naïve Bayes
Naïve Bayes Description Naïve Bayes is a family of classification algorithms based on the Bayes Theorem. All algorithms in the family share a common principle that the pair of features being classified are mutually independent. Why to use To classify ...
Adaboost
Adaboost Description Adaboost is a boosting algorithm that combines multiple weak models into a single strong learner algorithm (the predictive model). Why to use To classify text into the possible categories. When to use When textual data needs to ...
Textual Classification
Classification is the process of predicting the class of given data points. Classes are referred to as targets/ labels or categories. Classification belongs to the category of supervised learning. There are two types of learning techniques in ...
Textual Analysis
Text Analytics combines the power of AI, ML, and Natural Language Processing to identify, mine, parse, categorize, cluster, and model textual data. Text Analytics has a powerful built-in engine that simplifies word frequency analysis, pattern ...