udemy-natural-language-processing-for-text-summarization-2021-5

\ 0:00 Course content 7:04 Introduction to natural language processing algorithm\ 11:42 Plan of attack 13:25 Algorithm - intuition 25:23 Preprocessing the texts 1 30:20 Preprocessing the texts 2 41:25 Word frequency 45:23 Weighted word frequency 48:32 Sentence tokenization 53:32 Generating the summary 1:03:55 Visualizing the summary in HTML 1:09:36 Extracting texts from the Internet 1:15:07 Function to summarize the texts 1:23:44 Function to visualize the results 1:27:26 Summarizing multiple texts algorithm\ 1:35:16 Plan of attack 1:39:11 Preparing the environment 1:44:22 Implementation 1 1:55:22 Implementation 2 2:07:53 Implementation 3 2:23:17 Implementation 4 2:35:48 Implementation 5 2:41:59 Extracting texts from the Internet 2:48:59 Reading articles from RSS feeds 3:01:26 Word cloud 3:09:16 Extracting named entities 3:14:31 Summarizing articles from feed 3:21:13 Summary in HTML files similarity\ 3:28:20 Plan of attack 3:29:30 Preparing the environment 3:33:01 Similarity between sentences 1 3:39:16 Similarity between sentences 2 3:53:46 Similarity matrix 4:01:36 Summarizing texts 4:18:20 Extracting texts from the Internet for text summarization\ 4:25:48 Plan of attack 4:28:04 Preparing the environment 4:30:54 Sumy library 4:38:26 Pysummarization library 4:48:56 BERT summarizer library remarks\ 4:53:37 Final remarks