ISSN 2394-5125
 

Research Article 


AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM

Namrata Kumari, Pardeep Singh.

Abstract
Abstract
Text Summarization is a compressing technique of the original text to form a summary which will
provide the same meaning and information as provided by the original text. Summarizer helps in
saving time and increasing efficiency. Summarization can be done using any of the two
approaches: abstractive text summarization and extractive text summarization. Abstractive
summarization refers to recreate the whole document in a few words or lines, which may include
new words as well while extractive summarization refers to extract the important words or lines
from the original document. A lot of work has been done in major languages like English, Chinese,
etc. whereas less work has been done on Hindi. In this paper, a comparative study is done for text
summarization using Term Frequency Inverse Document Frequency and TextRank algorithms,
for the Hindi language on a single document. The idea of using the extractive approach is to
provide a summary by selecting the high ranking sentences from the input document. In Term
Frequency Inverse Document Frequency, a numerical value is assigned to each sentence and
TextRank is a graph-based approach, which uses graphs for ranking the sentences.

Key words: Keywords: Automatic text summarization, Extractive summarization, Abstractive summarization, Sentence ranking, TF-IDF, TextRank


 
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Pubmed Style

Namrata Kumari, Pardeep Singh. AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM. JCR. 2020; 7(17): 2547-2555. doi:10.31838/jcr.07.17.315


Web Style

Namrata Kumari, Pardeep Singh. AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM. http://www.jcreview.com/?mno=100440 [Access: August 18, 2021]. doi:10.31838/jcr.07.17.315


AMA (American Medical Association) Style

Namrata Kumari, Pardeep Singh. AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM. JCR. 2020; 7(17): 2547-2555. doi:10.31838/jcr.07.17.315



Vancouver/ICMJE Style

Namrata Kumari, Pardeep Singh. AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM. JCR. (2020), [cited August 18, 2021]; 7(17): 2547-2555. doi:10.31838/jcr.07.17.315



Harvard Style

Namrata Kumari, Pardeep Singh (2020) AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM. JCR, 7 (17), 2547-2555. doi:10.31838/jcr.07.17.315



Turabian Style

Namrata Kumari, Pardeep Singh. 2020. AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM. Journal of Critical Reviews, 7 (17), 2547-2555. doi:10.31838/jcr.07.17.315



Chicago Style

Namrata Kumari, Pardeep Singh. "AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM." Journal of Critical Reviews 7 (2020), 2547-2555. doi:10.31838/jcr.07.17.315



MLA (The Modern Language Association) Style

Namrata Kumari, Pardeep Singh. "AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM." Journal of Critical Reviews 7.17 (2020), 2547-2555. Print. doi:10.31838/jcr.07.17.315



APA (American Psychological Association) Style

Namrata Kumari, Pardeep Singh (2020) AUTOMATED HINDI TEXT SUMMARIZATION USING TF-IDF AND TEXTRANK ALGORITHM. Journal of Critical Reviews, 7 (17), 2547-2555. doi:10.31838/jcr.07.17.315