The Handbook of NLP with Gensim
Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data
Created by Chris Kuo
Unlock the power of topic modeling and natural language processing using Gensim. Learn to turn raw text into meaningful insights and discover how to apply these techniques in real-world scenarios across industries like healthcare, finance, and e-commerce. Gain hands-on experience with practical strategies and code examples.
Packt | Oct 2023 | 310 min
What You Will Learn
You will start by exploring how to convert text into numeric values using techniques such as bag-of-words, TF-IDF, and word embeddings. Step-by-step code examples will guide you through building topic models with Gensim, including LSA, LDA, and Ensemble LDA. Along the way, you will practice optimizing models and see how these methods are used in real-world business and research settings.
Key Features
- Transform text data into numeric formats for advanced analysis and modeling
- Apply topic modeling techniques like LSA, LDA, and Ensemble LDA with Gensim
- Fine-tune models and visualize results for real-world applications in multiple industries
Target Audience
Ideal for data scientists, NLP practitioners, and professionals looking to deepen their skills in topic modeling. If you have a basic understanding of NLP and want to apply these concepts with Gensim in practical projects, you will benefit from this course. It is also valuable for students and those transitioning into NLP roles who want to see how these tools are used across different industries.
