[FreeCourseSite.com] Udemy - Natural Language Processing for Text Summarization

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文件数目：93个文件
文件大小：2.05 GB
收录时间：2022-12-12
访问次数：1
相关内容：FreeCourseSite Udemy Natural Language Processing Text Summarization

文件meta

04 Cosine similarity/006 Summarizing texts.mp4
118.27 MB
03 Luhn algorithm/009 Reading articles from RSS feeds.mp4
97.04 MB
05 Libraries for text summarization/004 Pysummarization library.mp4
96.62 MB
03 Luhn algorithm/005 Implementation 3.mp4
95.4 MB
04 Cosine similarity/004 Similarity between sentences 2.mp4
93.12 MB
03 Luhn algorithm/004 Implementation 2.mp4
83.67 MB
02 Frequency-based algorithm/011 Function to summarize the texts.mp4
82.29 MB
04 Cosine similarity/007 Extracting texts from the Internet.mp4
78.86 MB
03 Luhn algorithm/012 Summarizing articles from feed.mp4
78.61 MB
02 Frequency-based algorithm/013 Summarizing multiple texts.mp4
76.98 MB
02 Frequency-based algorithm/004 Preprocessing the texts 2.mp4
76.3 MB
03 Luhn algorithm/006 Implementation 4.mp4
75.13 MB
03 Luhn algorithm/010 Word cloud.mp4
74.6 MB
02 Frequency-based algorithm/002 Algorithm - intuition.mp4
67.7 MB
02 Frequency-based algorithm/008 Generating the summary.mp4
67.45 MB
05 Libraries for text summarization/003 Sumy library.mp4
64.91 MB
03 Luhn algorithm/003 Implementation 1.mp4
60.25 MB
03 Luhn algorithm/013 Summary in HTML files.mp4
57.74 MB
01 Introduction/001 Course content.mp4
53.14 MB
03 Luhn algorithm/008 Extracting texts from the Internet.mp4
52.53 MB
04 Cosine similarity/005 Similarity matrix.mp4
51.74 MB
02 Frequency-based algorithm/012 Function to visualize the results.mp4
41.09 MB
04 Cosine similarity/003 Similarity between sentences 1.mp4
39.28 MB
03 Luhn algorithm/002 Preparing the environment.mp4
38.13 MB
03 Luhn algorithm/007 Implementation 5.mp4
38 MB
02 Frequency-based algorithm/010 Extracting texts from the Internet.mp4
37.59 MB
03 Luhn algorithm/011 Extracting named entities.mp4
34.72 MB
05 Libraries for text summarization/005 BERT summarizer library.mp4
34.35 MB
02 Frequency-based algorithm/009 Visualizing the summary in HTML.mp4
32.17 MB
02 Frequency-based algorithm/003 Preprocessing the texts 1.mp4
26.81 MB
02 Frequency-based algorithm/007 Sentence tokenization.mp4
24.46 MB
04 Cosine similarity/002 Preparing the environment.mp4
21.86 MB
02 Frequency-based algorithm/005 Word frequency.mp4
20.39 MB
05 Libraries for text summarization/002 Preparing the environment.mp4
19.3 MB
02 Frequency-based algorithm/006 Weighted word frequency.mp4
18.46 MB
01 Introduction/002 Introduction to natural language processing.mp4
16.99 MB
03 Luhn algorithm/001 Plan of attack.mp4
16.7 MB
06 Final remarks/001 Final remarks.mp4
13.92 MB
02 Frequency-based algorithm/001 Plan of attack.mp4
8.46 MB
05 Libraries for text summarization/001 Plan of attack.mp4
5.26 MB
04 Cosine similarity/001 Plan of attack.mp4
4.46 MB
01 Introduction/003 Natural Language Processing for Text Summarization.pdf
4.27 MB
04 Cosine similarity/006 Summarizing texts.en.srt
16.69 KB
03 Luhn algorithm/005 Implementation 3.en.srt
15.03 KB
04 Cosine similarity/004 Similarity between sentences 2.en.srt
14.59 KB
03 Luhn algorithm/004 Implementation 2.en.srt
12.5 KB
02 Frequency-based algorithm/002 Algorithm - intuition.en.srt
12.23 KB
03 Luhn algorithm/006 Implementation 4.en.srt
12.11 KB
03 Luhn algorithm/009 Reading articles from RSS feeds.en.srt
11.86 KB
03 Luhn algorithm/003 Implementation 1.en.srt
11.09 KB