2018
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
1. Language and Computation
p 1, filter spam,
language-aware feature -data product ในการสร้าง intersecction of experimentation , research ,practical software develop
application text, speech annalysis – เป็น direct experience โดย user response feedback
focus this book -> ” language-aware data product”
p 2, The Data Science paradigm
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
