Курс от O.P. Jindal Global UniversityTurn customer conversations into marketing insights with Text Mining for Marketing. If you work in marketing and want to make more data-driven decisions, this course will help you understand how to extract meaningful insights from customer reviews, social media posts, feedback, news, and other unstructured text data. You’ll learn how text mining, sentiment analysis, topic modelling, natural language processing (NLP), named entity recognition, text classification, topic clustering, and predictive analysis can reveal customer preferences, emerging trends, competitor insights, and brand sentiment. Explore how these techniques can support customer segmentation, customer acquisition and retention, personalised marketing, brand reputation management, competitive analysis, and campaign optimisation. The course also examines the practical challenges of text mining, including data quality, accuracy, context, privacy, ethics, cost, and technical expertise. You’ll discover how machine learning and AI are shaping the future of text analytics and how text mining can integrate with CRM systems, marketing automation, analytics platforms, and social media monitoring tools. Whether you’re a marketing professional, aspiring marketer, business learner, or analytics-focused professional, this course will help you turn large volumes of customer-generated text into actionable insights and make more informed marketing decisions.
12 модулей · 110 учебных материалов

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