01062nam a2200121Ia 4500 231221s9999 xx 000 0 und d English Shraddha P Gaikwad. Feature extraction and text categorization by ensembles of multimodel algorithms Dinesh Singh. Jan-May 2019 PES University Bengaluru Feature Extraction/Selection for any machine learning algorithms is of utmost importance. It is the step which helps in easy implementation of algorithms by selecting only the important features for further analysis. The project deals with automated text classification, implementing which Random Multimodel Neural Networks, solving the problem of classifiying the text more accurately as it randomly generates neural network models for CNN,RNN and DNN. The salient features of the application would be to automate and make pre-processing task of cleaning and feature extraction much easy and automated, on a single user click and then use this pre-processes data for text classification. CD 237109 237109 2024-01-26 00:00:00 0 CD7236 2024-01-26 CD 0 0 0 0 ML ML 0000-00-00 CS/PG RS 1 0