Text Mining and Analytics: Hotel Reviews Sentiment Analysis
Natural Language Processing
| Intermediate
- 11 Videos | 1h 7m 43s
- Includes Assessment
- Earns a Badge
Using natural language processing (NLP) tools, an organization can analyze their review data and predict the sentiments of their customers. In this course, we'll learn how to implement NLP tools to solve a business problem end-to-end. To begin, learn about loading, exploring, and preprocessing business data. Next, explore various linguistic features and feature engineering methods for data and practice building machine learning (ML) models for sentiment prediction. Finally, examine the automation options available for building and deploying models. After completing this course, you will be able to solve NLP problems for enterprises end-to-end by leveraging a variety of concepts and tools.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedemonstrate how to load the hotel review data and recognize its featuresinstall and import the required libraries and demonstrate data loadingutilize Exploratory Data Analysis (EDA), topic modelling, sentiment analysis, and preprocessing of datademonstrate the use of WordCLoud and sentiment distributionbuild and evaluate simple NLP models
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interpret the tuning of models for better results and outline their evaluation using different search methodsdeploy AutoML, PyCaret, and Streamlit modelsidentify best practices for NLP projects across various industriescompare challenges and deployment strategies for NLP projects across various industriessummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 33sUP NEXT
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2.Loading Hotel Reviews Data1m 29s
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3.Installing Libraries and Data Loading7m 44s
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4.Utilizing Exploratory Data Analysis (EDA)14m 56s
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5.Exploring Linguistic Features of Data7m 53s
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6.Building NLP Models8m 42s
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7.Interpreting Model Tuning8m 3s
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8.Deploying AutoML, PyCaret, and Streamlit Models13m 43s
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9.NLP Project Best Practices1m 51s
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10.NLP Project Challenges and Deployment Strategies1m 5s
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11.Course Summary44s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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