Details for this torrent 

Natural Language Processing for Text Summarization
Type:
Other > Other
Files:
132
Size:
2.06 GiB (2211206411 Bytes)
Uploaded:
2021-06-22 06:41:44 GMT
By:
tuts756
Seeders:
2
Leechers:
0
Comments
0  

Info Hash:
284E00211983146B280728434CD4365B058936C3




(Problems with magnets links are fixed by upgrading your torrent client!)
Description

The area of ​​Natural Language Processing – PLN (Natural Language Processing – NLP) is a subarea of ​​Artificial Intelligence that aims to make computers capable of understanding human language, both written and spoken. Some examples of practical applications are: translators between languages, translation from text to speech or speech to text, chatbots, automatic question and answer systems (Q&A), automatic generation of descriptions for images, generation of subtitles in videos, classification of sentiments in sentences, among many others! Another important application is the automatic document summarization, which consists of generating text summaries. Suppose you need to read an article with 50 pages, however, you do not have enough time to read the full text. In that case, you can use a summary algorithm to generate a summary of this article. The size of this summary can be adjusted: you can transform 50 pages into only 20 pages that contain only the most important parts of the text!

Based on this, this course presents the theory and mainly the practical implementation of three text summarization algorithms: (i) frequency-based, (ii) distance-based (cosine similarity with Pagerank) and (iii) the famous and classic Luhn algorithm, which was one of the first efforts in this area. During the lectures, we will implement each of these algorithms step by step using modern technologies, such as the Python programming language, the NLTK (Natural Language Toolkit) and spaCy libraries and Google Colab, which will ensure that you will have no problems with installations or configurations of software on your local machine.

In addition to implementing the algorithms, you will also learn how to extract news from blogs and the feeds, as well as generate interesting views of the summaries using HTML! After implementing the algorithms from scratch, you have an additional module in which you can use specific libraries to summarize documents, such as: sumy, pysummarization and BERT summarizer. At the end of the course, you will know everything you need to create your own summary algorithms! If you have never heard about text summarization, this course is for you! On the other hand, if you are already experienced, you can use this course to review the concepts.
Who this course is for:

    People interested in natural language processing and text summarization
    People interested in the spaCy and NLTK libraries
    Students who are studying subjects related to Artificial Intelligence
    Data Scientists who want to increase their knowledge in natural language processing
    Professionals interested in developing text summarization solutions
    Beginners who are starting to learn natural language processing

Requirements

    Programming logic
    Basic Python programming

Last Updated 5/2021

[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/006 Summarizing texts.mp4118.27 MiB
TutsNode.com.txt63 B
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/006 Summarizing texts.en.srt16.69 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/005 Implementation 3.en.srt15.03 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/004 Similarity between sentences 2.en.srt14.59 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/004 Implementation 2.en.srt12.5 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/002 Algorithm - intuition.en.srt12.23 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/01 Introduction/003 Source code and slides.html1.07 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/001 Plan of attack.en.srt1.95 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/006 Implementation 4.en.srt12.11 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/009 Reading articles from RSS feeds.en.srt11.86 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/003 Implementation 1.en.srt11.09 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/004 Preprocessing the texts 2.en.srt10.68 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/004 Pysummarization library.en.srt10.48 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/008 Generating the summary.en.srt9.32 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/011 Function to summarize the texts.en.srt8.6 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/007 Extracting texts from the Internet.en.srt7.7 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/003 Sumy library.en.srt7.68 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/005 Similarity matrix.en.srt7.64 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/010 Word cloud.en.srt7.62 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/01 Introduction/001 Course content.en.srt7.56 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/008 Extracting texts from the Internet.en.srt7.26 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/013 Summarizing multiple texts.en.srt7.08 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/012 Summarizing articles from feed.en.srt6.99 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/013 Summary in HTML files.en.srt6.78 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/003 Similarity between sentences 1.en.srt6.32 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/007 Implementation 5.en.srt5.96 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/011 Extracting named entities.en.srt5.25 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/external-assets-links.txt124 B
.pad/046 B
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/009 Reading articles from RSS feeds.mp497.04 MiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/009 Visualizing the summary in HTML.en.srt5.78 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/002 Preparing the environment.en.srt5.63 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/010 Extracting texts from the Internet.en.srt5.47 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/003 Preprocessing the texts 1.en.srt4.93 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/01 Introduction/002 Introduction to natural language processing.en.srt4.82 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/005 BERT summarizer library.en.srt4.81 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/007 Sentence tokenization.en.srt4.79 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/001 Plan of attack.en.srt4.4 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/005 Word frequency.en.srt3.85 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/012 Function to visualize the results.en.srt3.78 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/002 Preparing the environment.en.srt3.67 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/002 Preparing the environment.en.srt3.1 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/006 Weighted word frequency.en.srt3.02 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/006 Additional content_ abstractive summarization.html2.75 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/001 Plan of attack.en.srt2.37 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/06 Final remarks/001 Final remarks.en.srt1.98 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/001 Plan of attack.en.srt1.41 KiB
[TGx]Downloaded from torrentgalaxy.to .txt585 B
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/external-assets-links.txt124 B
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/external-assets-links.txt124 B
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/external-assets-links.txt124 B
.pad/1404.92 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/004 Pysummarization library.mp496.62 MiB
.pad/2391.44 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/005 Implementation 3.mp495.4 MiB
.pad/3105.2 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/004 Similarity between sentences 2.mp493.12 MiB
.pad/4387.15 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/004 Implementation 2.mp483.67 MiB
.pad/5342.4 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/011 Function to summarize the texts.mp482.29 MiB
.pad/6215.12 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/007 Extracting texts from the Internet.mp478.86 MiB
.pad/7141.38 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/012 Summarizing articles from feed.mp478.61 MiB
.pad/8403.13 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/013 Summarizing multiple texts.mp476.98 MiB
.pad/916.93 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/004 Preprocessing the texts 2.mp476.3 MiB
.pad/10208.82 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/006 Implementation 4.mp475.13 MiB
.pad/11381.6 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/010 Word cloud.mp474.6 MiB
.pad/12407.58 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/002 Algorithm - intuition.mp467.7 MiB
.pad/13306.5 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/008 Generating the summary.mp467.45 MiB
.pad/1448.38 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/003 Sumy library.mp464.91 MiB
.pad/1591.24 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/003 Implementation 1.mp460.25 MiB
.pad/16260.15 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/013 Summary in HTML files.mp457.74 MiB
.pad/17268.3 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/01 Introduction/001 Course content.mp453.14 MiB
.pad/18368.26 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/008 Extracting texts from the Internet.mp452.53 MiB
.pad/19479.55 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/005 Similarity matrix.mp451.74 MiB
.pad/20262.98 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/012 Function to visualize the results.mp441.09 MiB
.pad/21418.24 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/003 Similarity between sentences 1.mp439.28 MiB
.pad/22224.23 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/002 Preparing the environment.mp438.13 MiB
.pad/23375.82 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/007 Implementation 5.mp438 MiB
.pad/24511.9 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/010 Extracting texts from the Internet.mp437.59 MiB
.pad/25415.46 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/011 Extracting named entities.mp434.72 MiB
.pad/26290.12 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/005 BERT summarizer library.mp434.35 MiB
.pad/27156.46 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/009 Visualizing the summary in HTML.mp432.17 MiB
.pad/28337.06 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/003 Preprocessing the texts 1.mp426.81 MiB
.pad/29194.41 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/007 Sentence tokenization.mp424.46 MiB
.pad/3044.76 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/002 Preparing the environment.mp421.86 MiB
.pad/31139.44 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/005 Word frequency.mp420.39 MiB
.pad/32112.83 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/002 Preparing the environment.mp419.3 MiB
.pad/33209.61 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/006 Weighted word frequency.mp418.46 MiB
.pad/3441.8 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/01 Introduction/002 Introduction to natural language processing.mp416.99 MiB
.pad/3513.76 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/03 Luhn algorithm/001 Plan of attack.mp416.7 MiB
.pad/36312.14 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/06 Final remarks/001 Final remarks.mp413.92 MiB
.pad/3777.79 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/02 Frequency-based algorithm/001 Plan of attack.mp48.46 MiB
.pad/3838.74 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/05 Libraries for text summarization/001 Plan of attack.mp45.26 MiB
.pad/39245.52 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/04 Cosine similarity/001 Plan of attack.mp44.46 MiB
.pad/4037.12 KiB
[TutsNode.com] - Natural Language Processing for Text Summarization/01 Introduction/003 Natural Language Processing for Text Summarization.pdf4.27 MiB