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NLTK Essentials
Nitin Hardeniya
- 扉页
- 版权信息+书签
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- Chapter 1. Introduction to Natural Language Processing
- Why learn NLP?
- Let s start playing with Python!
- Diving into NLTK
- Your turn
- Summary
- Chapter 2. Text Wrangling and Cleansing
- What is text wrangling?
- Text cleansing
- Sentence splitter
- Tokenization
- Stemming
- Lemmatization
- Stop word removal
- Rare word removal
- Spell correction
- Your turn
- Summary
- Chapter 3. Part of Speech Tagging
- What is Part of speech tagging
- Named Entity Recognition (NER)
- Your Turn
- Summary
- Chapter 4. Parsing Structure in Text
- Shallow versus deep parsing
- The two approaches in parsing
- Why we need parsing
- Different types of parsers
- Dependency parsing
- Chunking
- Information extraction
- Summary
- Chapter 5. NLP Applications
- Building your first NLP application
- Other NLP applications
- Summary
- Chapter 6. Text Classification
- Machine learning
- Text classification
- Sampling
- The Random forest algorithm
- Text clustering
- Topic modeling in text
- References
- Summary
- Chapter 7. Web Crawling
- Web crawlers
- Writing your first crawler
- Data flow in Scrapy
- The Sitemap spider
- The item pipeline
- External references
- Summary
- Chapter 8. Using NLTK with Other Python Libraries
- NumPy
- SciPy
- pandas
- matplotlib
- External references
- Summary
- Chapter 9. Social Media Mining in Python
- Data collection
- Data extraction
- Geovisualization
- Summary
- Chapter 10. Text Mining at Scale
- Different ways of using Python on Hadoop
- NLTK on Hadoop
- Scikit-learn on Hadoop
- PySpark
- Summary
- Index
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