Effective Text Processing utilizing NLP
Dharmaiah Devarapalli1, Srija Padmini Guduri2, Pericharla Jaya Madhuri3, Sathi Navya Vahini Reddy4, Pavani Pasupuleti5
1Dr. Dharmaiah Devrapalli, Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women(A), Bhimavaram (A.P), India.
2Srija Padmini Guduri, Department of Computer Science and Engineering, Shri Vishnu Engineering College for women, Bhimavaram (A.P), India.
3Pericharla Jaya Madhuri, Department of Computer Science and Engineering, Shri Vishnu Engineering College For Women, Bhimavaram (A.P), India.
4Sathi Navya Vahini Reddy, Department of Computer Science and Engineering, Shri Vishnu Engineering College for Women, Bhimavaram (A.P), India.
5Pavani Pasupuleti, Department of Computer Science and Engineering, Shri Vishnu Engineering College for women, Bhimavaram (A.P), India.
Manuscript received on 11 October 2021 | Revised Manuscript received on 20 November 2021 | Manuscript Accepted on 15 December 2021 | Manuscript published on 30 December 2021 | PP: 1-7 | Volume-2 Issue-1, December 2021 | Retrieval Number: 100.1/ijainn.B38731212222 | DOI: 10.54105/ijainn.B3873.122121
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© The Authors. Published by Lattice Science Publication (LSP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Summarizing is the practice of condensing a body of material into a more manageable size while retaining all of the key data elements and the intended meaning. Automatic text summarizing systems can now quickly retrieve summary phrases from input documents. However, it has a number of shortcomings, such as duplication, insufficient coverage, incorrect extraction of key lines, and poor sentence coherence. In this study, a new concept of summarizer technique is proposed using the Python spacy package. It extracts the most significant information from the text. The scoring system is also used to compute the score for the words in order to determine the word frequency. The findings show that the proposed method completes the summary process faster than the current algorithm. An online tool called the text to summary converter aids in material summarizing. This programmer will give us a summary of the data that we upload. The primary goal is to accurately summaries the data entered. The most crucial sentences will be removed before the unnecessary ones.
Keywords: Spacy, NLP, stops words, word frequencies, Text to summary converter
Scope of the Article: Neural Information Processing