01.01 gain insights from unstructured text data.mkv (3.61 MB)
01.02 what you should know.mkv (505.79 KB)
01.03 exercise files.mkv (2.54 MB)
02.01 what is named entity recognition (ner).mkv (6.07 MB)
02.02 ner with spacy.mkv (7.84 MB)
02.03 data preprocessing for custom ner.mkv (10.34 MB)
02.04 custom model training with spacy.mkv (9.89 MB)
03.01 introduction to topic modeling.mkv (5.83 MB)
03.02 data preprocessing for topic modeling.mkv (14.27 MB)
03.03 topic modeling with gensim.mkv (16.85 MB)
03.04 topic modeling visualization with pyldavis.mkv (8.2 MB)
03.05 model evaluation for topic modeling.mkv (4.58 MB)
04.01 what is text summarization.mkv (4.73 MB)
04.02 text extraction for summarization.mkv (11.65 MB)
04.03 text summarization with sumy.mkv (8.09 MB)
05.01 what is sentiment analysis.mkv (6.84 MB)
05.02 sentiment analysis with vader.mkv (6.64 MB)
05.03 sentiment analysis with transformers.mkv (7.03 MB)
06.01 next steps.mkv (899.76 KB)
linkedin.learning.hands on.natural.language.processing xqzt sample.mkv (2.75 MB)