Question

Algorithms for multiclass text classification ith best rsults

Answer 1

Explanation:

When working on a supervised machine learning problem with a given data set, we try different algorithms and techniques to search for models to produce general hypotheses, which then make the most accurate predictions possible about future instances. The same principles apply to text (or document) classification where there are many models can be used to train a text classifier. The answer to the question “What machine learning model should I use?” is always “It depends.” Even the most experienced data scientists can’t tell which algorithm will perform best before experimenting them.

Answer 2

Answer:

☑ We will implement following different classifiers for this purpose: Naive Bayes Classifier. Linear Classifier. Support Vector Machine. Bagging Models. Boosting Models. Shallow Neural Networks. Deep Neural Networks. Convolutional Neural Network (CNN) Long Short Term Modelr (LSTM) Gated Recurrent Unit (GRU) Bidirectional ...