A pioneering tool for text summarization using star map

Kalaiselvan, M.; Kathiravan, A. Vijaya

doi:10.1109/icprime.2013.6496486

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…A star map is used in summarization system developed by Kalaiselvan and Kathiravan [6], which constructs a star map between identified important and meaningful sentence based on the linguistic and statistical features of sentences. This system is found to have various applications such as duplicate elimination, exam paper evaluator, lesson planning, Identify Shingling.…”

Section: Related Workmentioning

confidence: 99%

Graph Based Technique for Hindi Text Summarization

Kumar

Yadav

Sharma

2015

Advances in Intelligent Systems and Computing

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Automatic Summarization is the process of generating or extracting the important sentences from the given input document. Since there are many such systems for English language so this proposed system is mainly focused on the Hindi language. The basic idea of this summarization system is to identify the important sentences and also to extract them based on its relevance with other sentences. In case of summarization the sentences in the summarized document should be meaningful and relevant to each other, which are achieved using sentential semantic analysis. For finding the relation between each sentence and also to analyze for the importance, the Graph based approach is found to be more appropriate. Based on the frequency of words occurrence in the input document, the sentences are ranked and the ranks are used to identify the important sentences in the document. The relevance between each sentence in the document with other sentences is found using semantic similarity. There may be same information conveyed by two different sentences whose semantic similarity score is very high. Such kind of sentences has to be kept only once in the output. For which an analysis has been performed over various semantically similar sentences. Finally, the identified relevant sentences are merged using the rank and the semantic analysis of the sentences. These identified sentences are rearranged to provide a proper meaningful summarized text to avoid textual continuity in the output text. The system is found to perform well in terms of precision, recall and F-measure with various input documents.

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Section: Related Workmentioning

confidence: 99%

Graph Based Technique for Hindi Text Summarization

Kumar

Yadav

Sharma

2015

Advances in Intelligent Systems and Computing

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“…Second, knowing the purpose, audience, and tone of the document will help you decide what your paragraphs will cover and how they will support your main points [16]. Additionally, the use of headings and subheadings contributes to the readability and accessibility of the document, allowing readers to quickly navigate to specific information of interest [17]. Paragraphs are especially important in academic essays and informational documents.…”

Section: Introductionmentioning

confidence: 99%

Image Processing and Natural Language Processing Based Digitalized Document Generator

Thilakarathne U.T,,

R.M.H.M,

V.P

et al. 2023

IRJIET

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The proposed application aims to provide users with advanced document conversion and classification capabilities, as well as convenient voice command capabilities. The image-to-text conversion feature allows users to convert handwritten documents quickly and easily into digitalized text files directly from their device. The app uses powerful image recognition algorithms to accurately recognize text and convert it into editable digital text. Speech-to-text functionality enables users to convert spoken words into digital text files with high accuracy and speed. Additionally, the app includes a document classification feature that automatically identifies document types based on their content. This feature uses machine learning algorithms to analyze text and classify it into one of several categories. B. Economics, computer science, engineering, etc. The voice command feature allows users to operate the app with their voice, making it easy to initiate document conversion and classification tasks. Overall, this web application a comprehensive document digitization and management solution with a powerful feature set that can be accessed with simple voice commands.

show abstract

A pioneering tool for text summarization using star map

Cited by 2 publications

References 9 publications

Graph Based Technique for Hindi Text Summarization

Graph Based Technique for Hindi Text Summarization

Image Processing and Natural Language Processing Based Digitalized Document Generator

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