Masterclass Certificate in Support Driven by Text Analytics

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The Masterclass Certificate in Support Driven by Text Analytics is a comprehensive course designed to empower learners with the essential skills to harness the power of data-driven decision-making in customer support. This course is critical for professionals seeking to advance their careers in the rapidly evolving customer support industry, where data analytics plays an increasingly important role.

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In this course, learners will gain hands-on experience in extracting valuable insights from customer interactions using text analytics techniques such as Natural Language Processing (NLP) and machine learning. They will also learn how to leverage these insights to optimize support workflows, improve customer satisfaction, and reduce operational costs. With the growing demand for data-driven support professionals, this course provides learners with a competitive edge in the job market, enabling them to deliver tangible business impact and drive growth in their organizations.

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โ€ข Unit 1: Introduction to Text Analytics
โ€ข Unit 2: Natural Language Processing (NLP)
โ€ข Unit 3: Data Mining and Preparation
โ€ข Unit 4: Sentiment Analysis and Opinion Mining
โ€ข Unit 5: Text Classification and Topic Modeling
โ€ข Unit 6: Named Entity Recognition (NER) and Information Extraction
โ€ข Unit 7: Machine Learning Algorithms in Text Analytics
โ€ข Unit 8: Implementing Text Analytics for Support
โ€ข Unit 9: Ethics and Bias in Text Analytics
โ€ข Unit 10: Advanced Text Analytics Techniques

่Œไธš้“่ทฏ

Loading chart...
This section presents a 3D pie chart highlighting the growth of support roles driven by text analytics in the UK. The chart is powered by Google Charts and features a transparent background, making it visually appealing and engaging. It displays the most in-demand roles, including Customer Support Specialist, Text Analytics Engineer, Data Scientist, Support Team Lead, and AI Chatbot Developer. The percentages displayed correspond to the job market trends, allowing users to gauge the industry demand for each role. The chart is fully responsive, adapting to all screen sizes, and is loaded with the google.visualization.arrayToDataTable method, which provides the data and options necessary for rendering the chart. The is3D option is set to true, giving the chart a 3D effect, and slices are color-coded to distinguish each role, enhancing the overall user experience.

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
MASTERCLASS CERTIFICATE IN SUPPORT DRIVEN BY TEXT ANALYTICS
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ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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