Text Summarisation

Registration ID: IJNRD_194822

Published ID: IJNRD2305249

DOI: http://doi.one/10.1729/Journal.34282

Kanan Gulati , Sumit Pandey

Text Summarization, NLP, Machine Learning, NLTK, Stopwords, Attention Mechanism

Over the past two years, taking short notes from lectures has proven to be an important tool for writing down key words and phrases that best represent context. However, many methods now use legacy methods, produce output or require hours of manual editing to produce good results. Recently, new machine learning architectures provide inferential summarization mechanisms by clustering the output embeddings of deep learning models. In this project, we will use many to many sequence models using the abstractive text summarization techniques to predict content analysis. We have implemented frequency based and position based summary in which few test cases to examine it, later on we have implemented using the you-tube video transcript summarization and Hindi text- summarization techniques. Using the tracking system, we will focus on the specific content while checking the content of the article. We've used two classes of Attention Mechanisms: Global Attention: In Global attention, all the hidden states of every time step from the encoder model are used to generate the context vector. Local Attention: Here few of the hidden states which are there from the encoder model generates the context vector. Index terms—Text Summarization, NLP, Machine Learning, NLTK, Stopwords, Attention Mechanism

Published Paper   E-Certificate

Kanan Gulati & Sumit Pandey (May-2023). Text Summarisation. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), c360-c367. http://doi.one/10.1729/Journal.34282

Volume 8 Issue 5, May-2023

Pages : c360-c367

Paper Reg. ID: IJNRD_194822

Published Paper Id: IJNRD2305249

Downloads: 000122021

Research Area: Engineering

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305249.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305249

Crossref DOI: http://doi.one/10.1729/Journal.34282

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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