Text Categorization using Clustering and Classification Machine Learning Algorithms via NLP
Miss. Kiran Patil, Prof. Nilesh Kurhade
Text analytics, TF-IDF, Text classiﬁcation, Text categorization
In a world that routinely conveys dynamically literary data. It is fundamental errand to managing that printed data. There are various substance examination systems are open to directing and envisioning that data, anyway various strategies may give less exactness because of the vulnerability of common language. To give the ﬁne-grained examination, in this paper present eﬃcient AI calculations for order content data. To upgrade the accuracy, in proposed system I familiar NLTK python library with perform common language preparing. The rule purpose of proposed system is to whole up the model for continuous application by using eﬃcient content classiﬁcation just as clustering calculations and ﬁnd the exactness of model using execution measure.