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...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing :
O'Reilly
2018.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630751006719 |
Tabla de Contenidos:
- 1. Language and Computation
- 2. Building a Custom Corpus
- 3. Corpus Preprocessing and Wrangling
- 4. Text Vectorization and Transformation Pipelines
- 5. Classification for Text Analysis
- 6. Clustering for Text Similarity
- 7. Context-Aware Text Analysis
- 8. Text Visualization
- 9. Graph Analysis of Text
- 10. Chatbots
- 11. Scaling Text Analytics with Multiprocessing and Spark
- 12. Deep Learning and Beyond
- Glossary
- Index.
