Basic Intro of Text Summarization
Basic Introduction of Text Summarization
Definition
Text summarization is the process of shortening long text of words by
removing the redundant and insignificant content and preserving the most informative content without loosing the overall meaning of the text.
Approaches
Get Ashin Shakya’s stories in your inbox
Join Medium for free to get updates from this writer.
There are mainly two approaches for text summarization:
Extractive Summarization : In this approach, the most important phrases and sentences are extracted from the text without modifying its original to create a summary. There are different algorithms for this approach among which some of them are listed below:
a. Sentence scoring based on term frequency algorithm
b. Term Frequency-Inverse Document Frequency (TF-IDF) algorithm
c. Text Rank algorithm
Abstractive Summarization : In this approach, the summary is created based on semantic understanding of the text due to which while abstracting it might modify the original content of the text.
Applications
a. Document Summarization (Newsletters, Articles, Books, etc.)
b. Key Phrase Extraction (Title Selection, SEO, etc.)
c. Sentence Compression
d. Document Analysis
