Paper Title
A Review of the Steps of Text Identification in Online Learning Communities
Article Identifiers
Authors
Vandana Devi
Keywords
Classification, Emotion, Segmentation, Text detection
Abstract
The brief texts seen in online learning communities are a crucial source of information for learning analysis. As a result, the research of learning analysis is significantly impacted by the brief text's quality. The expense of human identification and repair will be prohibitively high given the volume of text data in the learning community. The steps of text identification are identified and compared in this research, and various methods for text extraction from color photographs are examined. While this challenge is further broken down into text identification & localization, classification, segmentation, and text identification, two frequently used solutions for this topic are stepwise approaches & integrated approaches. This paper presents key methods applied to various stages along with their accompanying benefits, drawbacks, and applications
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How To Cite (APA)
Vandana Devi (July-2023). A Review of the Steps of Text Identification in Online Learning Communities. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(7), d325-d329. https://ijnrd.org/papers/IJNRD2307338.pdf
Issue
Volume 8 Issue 7, July-2023
Pages : d325-d329
Other Publication Details
Paper Reg. ID: IJNRD_202174
Published Paper Id: IJNRD2307338
Downloads: 000121986
Research Area: Engineering
Country: -, -, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2307338.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2307338
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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