The Sentiment Analysis and Customer Feedback Insights course in Jakarta helps professionals understand customer sentiment and use feedback to drive business growth and improve strategies.
From:
22-06-2026
From:
12-10-2026
Course Overview
Customer feedback holds valuable insights into satisfaction, loyalty, and expectations. This Sentiment Analysis and Customer Feedback Insights Training Course introduces participants to Natural Language Processing (NLP) and analytics tools that extract meaning from reviews, surveys, and social media.
Participants will learn how to apply sentiment analysis, text mining, and opinion detection techniques to identify trends and measure customer sentiment. Case studies and practical exercises will show how leading organizations leverage sentiment data to refine strategies, improve experiences, and enhance brand perception.
By the end of the course, attendees will be able to use analytics to transform unstructured feedback into actionable business intelligence.
Course Benefits
Analyze customer feedback with sentiment analysis tools
Detect positive, negative, and neutral sentiment trends
Apply NLP to reviews, surveys, and social media data
Improve customer engagement through data-driven insights
Strengthen brand perception and loyalty with analytics
Course Objectives
Explore sentiment analysis methods and applications
Use NLP techniques to analyze unstructured feedback
Apply text mining for trend and opinion detection
Evaluate and visualize customer sentiment insights
Integrate feedback analysis into business strategies
Ensure ethical and accurate use of customer data
Foster data-driven customer engagement strategies
Training Methodology
The course blends lectures, hands-on labs, case studies, and group exercises. Participants will analyze real-world datasets from surveys, reviews, and social media to extract insights.
Target Audience
Marketing and customer experience professionals
Data analysts and NLP practitioners
Business leaders focused on customer engagement
Product and service managers
Target Competencies
Sentiment analysis and NLP techniques
Text mining and opinion detection
Customer engagement analytics
Data-driven feedback strategies
Course Outline
Unit 1: Introduction to Sentiment Analysis
Fundamentals of sentiment and opinion mining
Applications in customer engagement and business strategy
Benefits and challenges of sentiment analytics
Case studies of real-world sentiment analysis
Unit 2: Text Mining and NLP Foundations
Tokenization, stemming, and lemmatization
Feature extraction from customer text data
Using vectorization and embeddings
Hands-on text preprocessing exercise
Unit 3: Sentiment Detection Techniques
Rule-based vs. machine learning approaches
Deep learning models for sentiment classification
Analyzing sentiment across multiple channels
Case study in customer review analysis
Unit 4: Feedback Insights and Visualization
Measuring satisfaction, loyalty, and trends
Dashboards for sentiment insights
Turning feedback into actionable recommendations
Practical visualization exercise
Unit 5: Ethics, Governance, and Future of Feedback Analytics
Ensuring privacy in customer text data use
Avoiding bias in sentiment models
Governance frameworks for responsible NLP
Future trends in sentiment and feedback analytics
Ready to unlock insights from customer voices?
Join the Sentiment Analysis and Customer Feedback Insights Training Course with EuroQuest International Training and turn customer opinions into business advantage.
The Sentiment Analysis and Customer Feedback Insights Training Courses in Jakarta equip professionals with the tools and techniques needed to extract valuable insights from customer opinions and sentiments. Designed for marketing managers, customer experience professionals, data analysts, and business leaders, these programs focus on how to leverage sentiment analysis to enhance decision-making, improve customer satisfaction, and drive business growth.
Participants will gain a deep understanding of sentiment analysis, learning how to use advanced natural language processing (NLP) and machine learning techniques to analyze customer feedback across various platforms, such as social media, surveys, and online reviews. The courses cover key topics such as text mining, sentiment classification, and the application of sentiment data to customer service strategies, product development, and marketing campaigns. Through hands-on exercises, case studies, and real-world examples, attendees will learn how to turn qualitative data into actionable insights that drive customer-centric decisions.
These sentiment analysis and customer feedback training programs in Jakarta provide participants with practical knowledge on how to integrate sentiment analysis into their business operations. The curriculum explores how to measure customer emotions, track brand health, and understand customer expectations through feedback analysis. Additionally, participants will gain insights into competitive analysis, identifying trends, and developing strategies to address negative sentiment, improve customer engagement, and refine products or services.
Attending these training courses in Jakarta offers professionals the opportunity to engage with data science experts and network with industry peers in a vibrant business hub. Jakarta’s dynamic market offers a unique environment for exploring the integration of sentiment analysis with business strategy. By completing this specialization, participants will be equipped to utilize customer feedback and sentiment data effectively, driving improved customer experiences, business performance, and long-term success in today’s competitive landscape.