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Description

Natural Language Processing for Text Summarization is a natural language processing course for summarizing texts and articles published by Udemy Academy. In this course, you will be introduced to the basic theories of natural language processing and artificial intelligence, and then you will develop three different algorithms for summarizing and extracting abstracts from articles. Natural language processing is a subset of artificial intelligence, and the goal of the developers is to develop systems that enable computers to read, understand, and analyze human language. Natural language processing helps computers analyze human language in a variety of formats, such as written and audio formats, and provide appropriate answers.

Among the most important applications of natural language processing are translating different languages ​​into each other, converting text to machine audio file and vice versa, building automatic chat robots and voice assistants, automatic question and answer systems, creating descriptions and summaries for images and videos Various, automatically creating subtitles for videos and video files, analyzing the tone of an audio or text file and recognizing the user’s feelings, summarizing scientific articles, and so on.

What you will learn in Natural Language Processing for Text Summarization

  • Understand the theory and calculations of algorithms for summarizing texts and articles
  • Build various summary algorithms using the Python programming language
  • Work with sumy, pysummarization and BERT summarizer libraries
  • Summarize articles on web pages and magazines
  • Work with NLTK and spaCy libraries to implement natural language processing systems
  • Lan algorithm or Lan formula

Course specifications

Course topics

Natural Language Processing for Text Summarization

Natural Language Processing for Text Summarization Prerequisites

Programming logic

Basic Python programming

Pictures

Natural Language Processing for Text Summarization

Natural Language Processing for Text Summarization Introduction Video

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

The 2023/4 version has increased the number of lessons by 1 and the duration increased by 1 minutes compared to 2021/5.

Download Links

Downloadly

Download Part 1 – 1 GB

Download Part 2 – 676 MB

Rapidgator

Download Part 1 – 1 GB

Download Part 2 – 676 MB

File password (s): www.downloadly.ir

Size

1.66 GB

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