000			01062nam a2200121Ia 4500
008			231221s9999 xx 000 0 und d
041			_aEnglish
100			_aShraddha P Gaikwad.
245		0	_aFeature extraction and text categorization by ensembles of multimodel algorithms _bDinesh Singh.
260			_cJan-May 2019 _bPES University _aBengaluru
510			_aFeature 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.
942			_cCD
999			_c237109 _d237109