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Text Summarization Using Restricted Boltzmann Machine: Unsupervised Deep Learning Approach
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Author(s):
Ashwini Ambekar | Kajol Shah | Minakshi Agrawal | Simica Pawar |Asma Shaikh
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Keywords:
Stemming, Stop-word Removal, Part Of Speech Tagging, Title Similarity, Sentence Matrix, Feature Vector Extraction, Inverse Sentence Frequency, Term Weight, Positional Feature, Restricted Boltzmann Machine (RBM), Sentence Score.
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Abstract:
Amount Of Information Available On The Internet Is Increasing Day By Day. A Lot Of Time Is Required By The User To Go Through This Information Or Documents. It Is Difficult For Humans To Manually Summarize The Information In These Documents. Here, Automat
Other Details
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Paper id:
IJSARTV4I623858
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Published in:
Volume: 4 Issue: 6 June 2018
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Publication Date:
2018-06-01
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