Development of a Classifier of Text Documents on the IBM Bluemix/Watson platform

Student: Rodionova Anna

Faculty: HSE Tikhonov Moscow Institute of Electronics and Mathematics (MIEM HSE)

Educational Programme: Information Science and Computation Technology (Bachelor)

Year of Graduation: 2019

This paper presents a review and comparative analysis of existing cloud platforms for developing machine learning models, web services have been studied that provide the ability to classify tests. The study was made of machine learning models such as artificial neural networks and the support vector method, taking into account such features of scientific texts as a large number of terms typical of various headings. Methods for conducting experiments and calculating quality metrics for analyzing the obtained classification results were investigated. The software module in the form of a web application has been developed for the automatic classification of scientific texts.

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