We have come quite a long way in our journey through the world of text analytics and natural language processing. You have seen how to process and annotate textual data for various applications. We also looked at state-of-the-art text representation methods with feature engineering. We also ventured into the world of machine learning and built our own multi-class text classification system by leveraging various feature extraction techniques and supervised machine learning algorithms. In this chapter, we tackle a slightly different problem in the world of ...
© Dipanjan Sarkar 2019
Dipanjan SarkarText Analytics with Pythonhttps://doi.org/10.1007/978-1-4842-4354-1_66. Text Summarization and Topic Models
Dipanjan Sarkar1
(1)
Bangalore, Karnataka, India
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