Python Based Machine Learning Text Classification

Abstract Machine learning is a clear indication that technological progress accelerating right now. All jobs must be done instantly and quickly in the digital world, making businessmen more competitive. There also pressing demand for machine education. As far as future policies go, this relevant. Included issue challenge of evaluating substance student’s thesis abstract accuracy, appropriateness, topicality. One method addressing these issues classification. The appropriateness level writing can determined by classifying labeled training data according to topic. Of course, test will cleaned or pre-processed prior Pre-processing classification tasks benefit from python library’s speed accuracy. In 2019, 126 papers with 8 labels were used, 2020, 116 documents used. follows topic an accuracy 93.85 percent, precision 97 recall 95 results study.