Abstract
SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.
Abstract
Text classification is an ML technique that assigns a set of predefined tags to open text, and text classifiers have been used to structure, organize, and categorize any sort of text data ranging from documents, files, medical studies, to the overall web. This chapter will provide you with the text classification techniques in python. In addition, it focuses on training a supervised learning model to do text classification with a real-time case study.
Keywords:
Decision trees, KNN, Naïve Bayes, Support vector machines, Text classification.
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Authors:Bentham Science Books