betsymccall.net Lifelong Learning Coding Tutorials and Examples, Natural Language Processing

Natural Language Processing (NLP) is essentially a category of machine learning that focuses on language. Most of the links below focus on text processing, but in all cases whatever language component one is processing needs to be converted to numerical representations in order to be analyzed with various machine learning techniques, but some specific techniques have been developed for identifying features of texts for that purpose. As with my machine learning materials, the links below mostly use Python as the primary programming language.

Links

Data Science with Spark : Analyzing Free Text from the Tweets (video)

Using TF-IDF to convert unstructured text to useful features (video)

Natural Language Processing with PySpark (video)

Spark ML. Feature Engineering for Texts, part 2 (video)

Sentiment Analysis with H2O, PySpark and Word2Vec on Qubole (video)

Leveraging NLP and Deep Learning for Document Recommendations in the Cloud (video)

Deep Learning for Natural Language Processing Using Apache Spark and TensorFlow

Topic modeling using Python and pyLDAvis: part1 (video)

Topic modeling using Python and pyLDAvis: part2 (video)

Topic Modeling with Python (video)

Natural Language Processing in Python (video)