Text Classification - Accelerator

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Presentation transcript:

Text Classification - Accelerator An engine developed on R Studio and Shiny package Tool generates Tags for untagged text data by building classification models on tagged data. This tool can help in reducing the process of laborious and expensive ways to read each piece of feedback/response and classify them into different themes/topics FEATURES Generate tags for untagged data along with the accuracy of each model and confusion matrix Choice of 4 different classification models – Naïve Bayes, SVM, KNN and Neural Network. Business has quick turnaround time and scale infinitely for text classification to perform instant decision making APPLICATION AREAS Brand Association Mapping Classify and Analyze social buzzes of a product or service into different themes to understand brand perception Infrastructure & Service Management Classify generated IT tickets to assign a right resolver group thus reduce resolution time significantly Feedback Analysis Classify Feedback provided both from internal and external stakeholders to understand the areas with high satisfaction and scope for improvement