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Text Analytics Course
Unleash the power of text analytics with our comprehensive course, specially designed for Business Intelligence professionals in Singapore. You'll delve into key topics like sentiment analysis, topic modelling, and data visualisation. Master industry-standard tools such as NLTK, SpaCy, and Gensim to efficiently preprocess and analyse text data. Learn how to extract actionable insights, create concise reports, and visualise data clearly. We'll also cover ethical considerations to ensure fairness and transparency. Level up your BI skills with practical, high-quality content you can apply straight away.
- Extract actionable insights: Master identifying and reporting key business insights that can be used for decision-making.
- Visualise text data: Create engaging word clouds and sentiment charts for effective communication.
- Ensure ethical analysis: Address potential bias and privacy issues in text analytics projects.
- Implement NLP tools: Use NLTK, SpaCy, and Gensim for efficient text processing and analysis.
- Apply sentiment analysis: Utilise deep learning and lexicon-based methods to gauge public opinion.

4 to 360 hours of flexible workload
certificate recognized by the Ministry of Education
What Will I Learn?
Unleash the power of text analytics with our comprehensive course, specially designed for Business Intelligence professionals in Singapore. You'll delve into key topics like sentiment analysis, topic modelling, and data visualisation. Master industry-standard tools such as NLTK, SpaCy, and Gensim to efficiently preprocess and analyse text data. Learn how to extract actionable insights, create concise reports, and visualise data clearly. We'll also cover ethical considerations to ensure fairness and transparency. Level up your BI skills with practical, high-quality content you can apply straight away.
Elevify Advantages
Develop Skills
- Extract actionable insights: Master identifying and reporting key business insights that can be used for decision-making.
- Visualise text data: Create engaging word clouds and sentiment charts for effective communication.
- Ensure ethical analysis: Address potential bias and privacy issues in text analytics projects.
- Implement NLP tools: Use NLTK, SpaCy, and Gensim for efficient text processing and analysis.
- Apply sentiment analysis: Utilise deep learning and lexicon-based methods to gauge public opinion.
Suggested Summary
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