Masterclass Certificate in Natural Language Processing for Complaint Analysis

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The Masterclass Certificate in Natural Language Processing (NLP) for Complaint Analysis is a comprehensive course that equips learners with essential skills in NLP, a rapidly growing field. This program is crucial in the modern industry, where businesses generate vast amounts of text data daily, and the demand for NLP experts is at an all-time high.

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AboutThisCourse

By enrolling in this course, learners gain expertise in analyzing and interpreting customer complaints using NLP techniques, empowering them to drive data-driven decisions and improve customer satisfaction. The curriculum covers various topics, including text preprocessing, sentiment analysis, topic modeling, and advanced NLP techniques. Upon completion, learners will have developed a strong foundation in NLP and its applications in complaint analysis, making them highly valuable to employers in various sectors. This course not only enhances learners' analytical skills but also opens up new career opportunities in data science, machine learning, and artificial intelligence.

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CourseDetails

• Introduction to Natural Language Processing (NLP)
• Text Preprocessing for Complaint Analysis
• Sentiment Analysis and Opinion Mining
• Named Entity Recognition in Complaints
• Topic Modeling for Complaint Analysis
• Aspect-Based Sentiment Analysis
• Machine Learning Techniques in NLP
• Deep Learning for NLP: Word Embeddings and Transformers
• Evaluation Metrics for NLP Models
• Ethics and Bias in NLP Models

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EntryRequirements

  • BasicUnderstandingSubject
  • ProficiencyEnglish
  • ComputerInternetAccess
  • BasicComputerSkills
  • DedicationCompleteCourse

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FastTrack GBP £140
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AcceleratedLearningPath
  • ThreeFourHoursPerWeek
  • EarlyCertificateDelivery
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StandardMode GBP £90
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FlexibleLearningPace
  • TwoThreeHoursPerWeek
  • RegularCertificateDelivery
  • OpenEnrollmentStartAnytime
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  • DigitalCertificate
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MASTERCLASS CERTIFICATE IN NATURAL LANGUAGE PROCESSING FOR COMPLAINT ANALYSIS
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London School of International Business (LSIB)
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05 May 2025
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