Udemy – Natural Language Processing for Text Summarization 2021-5

Published on: 2022-04-16 22:31:19

Categories: 28

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

Publisher: Udemy
Instructors: Jones Granatyr and IA Expert Academy
Language: English
Level: Beginner
Number of Lessons: 43
Duration: 4 hours and 55 minutes