Applied text analysis with Python : enabling language-aware data products with machine learning /
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data source...
| Hlavní autoři: | , , |
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| Médium: | Kniha |
| Jazyk: | English |
| Vydáno: |
Sebastopol, CA :
O'Reilly Media, Inc.,
2018.
©2018 |
| Vydání: | First edition. |
| Témata: | |
| Classic Catalogue: | View this record in Classic Catalogue |
Obsah:
- Language and computation
- Building a custom corpus
- Corpus preprocessing and wrangling
- Text vectorization and transformation pipelines
- Classification for text analysis
- Clustering for text similarity
- Context-aware text analysis
- Text visualization
- Graph analysis of text
- Chatbots
- Scaling text analytics with multiprocessing and Spark
- Deep learning and beyond.