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27 articles for “text summary”
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A Novel Sentence Ranking Clustering Based Algorithm for Text Summarization
Abstract: Text Summarization is the process of generating reduced text from source document by extraction or generation. A novel approach will be presented for extractive text summarization. The proposed technique performs filtering and then ranking on sentences based on NLP text mining techniques. This method uses the synonyms extracted from online thesaurus dictionary to identify similar sentences and then clusters these sentences to summarize. The sentences are ranked based on sentence …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 1–6 Read article
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A Strategical Review on Text Summarization
Abstract: Text summarization is the important component of the document analysis. Reading the complete set of documents if the work is tedious, so that the summary presents the brief idea about the whole document. In this paper we review the concept of the automatic text summarization and the concept involved in the automatic text summarization.Cite this ArticlePankaj Kumar, Komal Sharma*. A Strategical Review on Text Summarization. Research & Reviews: A Journal …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 3, 2018 · pp. 8–12 Read article
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Extractive Text Summarization: An Application Based Study
Abstract: Text summarization is an essential tool for extracting important information from lengthy texts or documents. Text Summarization has two main methodologies namely: Extractive Summarization and Abstractive Summarization. This study concentrates on extractive summarising, which selects significant sentences straight from the source material to create a summary. It is a popular option for many practical applications since it frequently produces summaries that are more accurate in terms of substance. In abstractive …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 41–48 Read article
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Text Analysis in Health Care Study Using IoT
Abstract: The Internet of Things (IoT) should be a recent buzzword that has steadily acquired acceptance (IoT). Organizations, governments, and the scientific community have already acknowledged the significance of the Internet of Things as a result of a surge in publications over the past few years. Despite scant research on goals and potential breakthroughs, IoT in health had a significant role in this development. In this study, the only method used …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 11–18 Read article
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Text Summarization with KNN Algorithm by Table Similarity
Abstract: This paper proposes Text Summarization using K Nearest Neighbor Classification algorithm on the basis of table similarity. This is being proposed for blog summarization, so that the text summarization can be used for summarization of blogs. Today, summarized data is needed everywhere, so that people can get more information in less amount of time, and that can be given with the help of summarized blogs. This method is being used …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 1, 2020 · pp. 14–18 Read article
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Various Techniques of Sentiment Analysis on Twitter Data Set: A Survey
Abstract: AbstractSentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Sentiment analysis could be a variety of data processing that measures the inclination of people’s opinions through natural language processing (NLP), linguistics and text analysis, that square measure want to extract and analyze …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 27–32 Read article
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Summarizer: A Single Document text summarization using Hybrid Approach
Abstract: Summarization task is a process of diminishing the size of the input text, without altering its overall meaning, by selecting only the significant parts of the input text as an output. Summary of a text can be obtained either by an abstractive approach or an extractive approach. Our system is a hybrid system (that is the combination of abstractive and extractive approach). The first stage of this system is to …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 15–25 Read article
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Exam Eval: An Automated Model for Correcting Exam Papers Using OCR and Text Summarization
Abstract: In the realm of education, grading and correcting exam papers can be a time-consuming and often daunting task for teachers. To streamline this process and provide more efficient feedback to students, this project aims to develop a model that leverages advanced techniques in natural language processing (NLP) and computer vision. The primary objective is to correct exam papers by summarizing the handwritten answers provided by students, incorporating Optical Character Recognition …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 23–28 Read article
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Website Summarization Using Deep Learning
Abstract: They are a lot of websites, articles and blogs on the internet with a lot of textual information it is sometimes impossible to read all of them, without knowing the underlying summary of the whole text. The whole concept is to reduce or minimize the entire Textual information into a small summary of important information present in the documents so that we get an idea of what the blog or …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 7–12 Read article
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A Comprehensive Study Utilizing Patterned Fabric Images and Detection Techniques with OpenCV and Edge Detection
Abstract: This project offers a comprehensive overview of recent advancements in autonomous fabric failure detection methods, a critical aspect of quality control in the textile industry. Detecting flaws in fabric is an increasingly vital automation challenge. The project evaluates the effectiveness of a proposed method by analyzing patterned fabric images featuring typical flaws. The performance of the proposed approach is assessed across various types of fabric flaws. Additionally, the project tests …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Semantic Summarizer
Abstract: Abstract: This work presents the survey of the existing approaches used for automatic text summarization. Automatic text summarization technique belongs to the natural language processing area, and is applied on the source document to produce its compact version that preserves its aggregate meaning and key concepts. On a broader scale, approaches for text summarization task are classified into two categories: (1) abstractive and (1) extractive. In abstractive summarization, main contents …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 1–8 Read article
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TextSum: An Automatic Text Summarization Tool using Bayesian Classification
Abstract: Automatic text summarization is the process of summarizing text from one or more documents in order to help the reader to determine if [s]he has to read the document(s) in full. Although automatic summarization is around for many years, there is a renewed interest in this area from the government, industry, and academia. The reason is the availability of large quantities of information due to world wide web and the …
Published in Recent Trends in Programming languages · Vol. 1, Issue 1, 2014 · pp. 1–3 Read article
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Automatic Text Summarization – A Review
Abstract: ABSTRACT We present Encoder/Decoder a unique methodology for summarization of text documents. The summarization of text is to be done in two forms one is abstractive and the other one is extractive. Summarization of text is a main job of natural language processing. With the help of new idea we make a unique amalgam model of abstractive-extractive to combine BERT(Bidirectional Encoder Representations from Transformers). Firstly we transform the summaries which …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 3, 2020 · pp. 22–27 Read article
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Optical/Handwritten Data Recognition
Abstract: For many years, optical character recognition (OCR) has been a hot topic. It's the process of breaking down a document image into its individual characters. Despite decades of intensive research, producing OCR with human-like skills is still a work in progress. The industries have long used localization and recognition of written characters for a number of applications. When working in a sterile environment, such as scanners or static settings, most …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 2, 2021 · pp. 22–31 Read article
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Exploring Technologies for Extractive Text Summarization: A Review of Transformer and Reinforcement Learning Models
Abstract: In recent years, the size of information on the Internet has increased exponentially. Therefore, a solution is needed to transform large amounts of raw data into useful information the human brain can understand. Automatic Text Summarization (ATS) is a part of Natural Language Processing (NLP) that aims to take long texts and shorten them, keeping the most important information in a clear and easy-to-understand way. This research report explores methods …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 1–6 Read article
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A Review: A Source of Industrially Important Enzymes from Marine Actinomycetes
Abstract: Actinomycetes are Gram-positive, spore-forming, filamentous actinobacteria which usually contain G+C content of about 57–75% in their DNA. Actinomycetes are considered as a unique group of a microorganism having the characters of the true bacteria and the true fungi. Actinomycetes that have been detected from extreme conditions are considered to be sources of new enzymes of great industrial potential. They produce valuable secondary metabolites and industrially significant enzymes like pectinase, amylase, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 10, Issue 2, 2020 · pp. 20–25 Read article
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Text Summarizer using NLP (Natural Language Processing)
Abstract: Enormous amounts of information are available online on the World Wide Web. To access information from databases, search engines like Google and Yahoo were created. Because the amount of electronic information is growing every day, the real outcomes have not been reached. As a result, automated summarization is in high demand. Automatic summary takes several papers as input and outputs a condensed version, saving both information and time. The study …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 1–6 Read article
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Enhancing Machinability in the Heat Treatment of Inconel 718: A Comprehensive Review
Abstract: The increasing need for materials with high strength and heat resistance, particularly in aerospace applications, creates machining issues. These materials are generally difficult to machine because to their strong wear resistance, abrasion resistance, and low heat conductivity. This produces strong cutting forces and temperatures, resulting in a limited tool life. variances in the microstructures of various materials can induce variations in machinability due to variances in chemical composition, casting, forging …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 1, 2024 · pp. 9–20 Read article
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Summarizing Sentiment-Analyzed Reviews
Abstract: With each passing day online shopping and social networking is touching new heights and more people prefer to shop online. Users post reviews about a product online and share their experience after receiving a service or using the product. Review can be positive or negative. Therefore whenever a person shops online he goes on checking previous reviews of a product, but the reviews are in detailed form and more in …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 1–10 Read article
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Investigate the Implication of “Self-service Business Intelligence (SSBI)”—a Big Data Trend in Today’s Business World
Abstract: Information is a life blood of any business organization. At present, the data will generate from many sources. It is scattered and unorganized in nature. To make a date meaningful, there are various data analytics tools. The data analytics are quantitative techniques and methods that can convert an unorganized data into organized and generate the meaningful information. Through information, business professionals’ can easily scrutinize the business conditions, understand the business …
Published in Current Trends in Information Technology · Vol. 10, Issue 1, 2020 · pp. 17–22 Read article