Exploring Preprocessing Techniques for Natural LanguageText: A Comprehensive Study Using Python Code

Author:

MR ADEPU RAJESH ORCID,DR TRYAMBAK HIWARKAR ORCID

Abstract

The paper highlights the significance of efficient text preprocessing strategies in Natural Language Processing (NLP), a field focused on enabling machines to understand and interpret human language. Text preprocessing is a crucial step in converting unstructured text into a machine-understandable format. It plays a vital role in various text classification tasks, including web search, document classification, chatbots, and virtual assistants. Techniques such as tokenization, stop word removal, and lemmatization are carefully studied and applied in a specific order to ensure accurate and efficient information retrieval. The paper emphasizes the importance of selecting and ordering preprocessing techniques wisely to achieve high-quality results. Effective text preprocessing involves cleaning and filtering textual data to eliminate noise and enhance efficiency. Furthermore, it provides insights into the impact of different techniques, such as raw text, tokenization, stop word removal, and stemming, using a Python implementation.

Publisher

Mallikarjuna Infosys

Subject

General Medicine

Reference14 articles.

1. H,Research Article Text Classification Based on Machine Learning and Natural Language Processing Algorithms ,Hindawi Wireless Communications and Mobile Computing Volume 2022, Article ID 3915491, 12 pages https://doi.org/10.1155/2022/3915491

2. On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis Jose Camacho-Collados School of Computer Science and Informatics Cardiff University camachocolladosj@cardiff.ac.uk Mohammad Taher Pilehvar School of Computer Engineering 2018

3. An Evaluation of Preprocessing Techniques for Text Classification, International Journal of Computer Science and Information Security, 16(6):22-32 Ammar Kadhim June 2018

4. International Journal of Computer Science and Information Security (IJCSIS), Vol. 16, No. 6, June 2018 . An Evaluation of Preprocessing Techniques for Text Classification Ammar Ismael Kadhim

5. Department of Computer Science Information Technology and Quantitative Management (ITQM2013) The Role of Text Pre-processing in Sentiment Analysis Emma Haddia , Xiaohui Liua , Yong Shib

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