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Application of Extractive Text Summarization Algorithms to Speech-to-Text Media [chapter]

Domínguez M. Victor, Fidalgo F. Eduardo, Rubel Biswas, Enrique Alegre, Laura Fernández-Robles
2019 Lecture Notes in Computer Science  
This paper presents how speech-to-text summarization can be performed using extractive text summarization algorithms.  ...  Finally, we applied the studied extractive summarization algorithms to these five text samples to obtain a text summary from the original audio file.  ...  framework agreement between the University of León and INCIBE (Spanish National Cybersecurity Institute) under Addendum 22 and 01.  ... 
doi:10.1007/978-3-030-29859-3_46 fatcat:vhnlwh65k5h4demo7jjf76762u

Application of natural language processing algorithms for extracting information from news articles in event-based surveillance

Victoria Ng, Erin E Rees, Jingcheng Niu, Abdelhamid Zaghlool
2020 Canada Communicable Disease Report  
The focus of this article is the application of natural language processing (NLP) for information extraction in event-based surveillance (EBS) systems.  ...  We describe common information extraction applications from open-source news articles and media sources in EBS systems, methods, value in public health, challenges and emerging developments.  ...  NLP algorithms and their application to public health The simplest way to extract information from unstructured text data is by keyword search.  ... 
doi:10.14745/ccdr.v46i06a06 fatcat:wj2sovzv4jawldrzggvpepygsq

Textual Summarization of Text and Multimedia Data using LDA Algorithm

Prajakta Bharat Deshmukh, S.S. Shiravale
2020 International Journal of Computer Applications  
Natural Language Processing (NLP) is a basic Automatic text summarization application which goals to summarize a given text into a compressed form.  ...  We have describe an multi-modal summarization framework that uses the techniques of OCR, NLP and speech processing examine the information contained in the statics and to enhance the aspect of multimedia  ...  LDA algorithm. As for speech to text HMM algorithm is applied and then retrieved text is passed to generate the summary.  ... 
doi:10.5120/ijca2020920639 fatcat:ok6a3zjl2jhzraf6tyx5kjuy2y

Extractive Text and Video Summarization using TF-IDF Algorithm

Ajinkya Gothankar, Lavish Gupta, Niharika Bisht, Samiksha Nehe, Prof. Monali Bansode
2022 International Journal for Research in Applied Science and Engineering Technology  
The application of the TF-IDF Algorithm for text, document, article, and video summarization is described in this study.  ...  This work examines Text Summarization using the TFIDF Algorithm, a numerical measure that ranks the value of a word in a document based on how frequently it appears in that document and a set of documents  ...  Text Summarization Purpose Convert input text of various formats to summarized text using summarization algorithm B.  ... 
doi:10.22214/ijraset.2022.40775 fatcat:atbc3s5lrzbghpgunko7ftvnba

Natural Language Processing

Matthew N. O. Sadiku, Yu Zhou, Sarhan M. Musa
2018 International Journal of Advances in Scientific Research and Engineering  
Natural language processing (NLP) refers to the field of study that focuses on the interactions between human language and computers. It is a computational approach to text analysis.  ...  It is the application of a wide range of computational techniques for the understanding, automatic analysis, and representation of human language. This paper provides a brief introduction to NLP.  ...  Natural language processing is one of the most promising avenues for social media data processing.  Summarizer: This will automatically summarize a block of text, exacting topic sentences, and ignoring  ... 
doi:10.31695/ijasre.2018.32708 fatcat:zngsgdxybrbmtdelpjiy6ixve4

MULTIMODAL INTERACTIONS FOR MULTIMEDIA CONTENT ANALYSIS

T. MARTIN, A. BOUCHER, J. -M. OGIER
2006 ICTACS 2006  
Then we compare the use of multimodality in these applications with existing inter-modal relations.  ...  We are distinguishing between media and modality, which helps us to define and to characterize 3 inter-modal relations. Then we are applying this model for recorded course analysis for e-learning.  ...  The content indexing of available media has to be done using the speech given by the teacher, the printed text on the slides and the handwritten text on the whiteboard.  ... 
doi:10.1142/9789812772671_0008 fatcat:6burxy7yqrbylb2xxnl4f34dku

Summarization of Documentaries [chapter]

Kezban Demirtas, Ilyas Cicekli, Nihan Kesim Cicekli
2010 Lecture Notes in Electrical Engineering  
Video summarization algorithms present condensed versions of a full length video by identifying the most significant parts of the video.  ...  We identify significant sentences in the subtitles of a video by using text summarization techniques and then we compose a video summary by finding the video parts corresponding to these summary sentences  ...  Acknowledgments This work is partially supported by The Scientific and Technical Council of Turkey Grant ''TUBITAK EEEAG-107E234, and The Scientific and Technical Council of Turkey Grant "TUBITAK EEEAG  ... 
doi:10.1007/978-90-481-9794-1_21 fatcat:lmnr6r5vvzaabgtldxjxoyghbm

Web Mining System in a Natural Language Processing Based for Social Media Analysis

Gadamsetty Vasavi, T. Sudha
2019 Asian Journal of Computer Science and Technology  
Social Media Monitoring and Analysis are the new trends in technology business. The challenge is to extract correct information from free-form texts of social media communication.  ...  Natural Language Processing methods are sometimes used in social media monitoring to improve accuracy in extracting information.  ...  There are more sophisticated algorithms that exist in order to extract the sentiment. III.  ... 
doi:10.51983/ajcst-2019.8.s3.2083 fatcat:fvhphhejhjaeffew37xpamu7lm

Text Summarization and Classification for Indian Language

Manasi Chouk, Neelam Phadnis
2021 International Journal of Computer Applications  
These models are used in various applications like predictive text input, machine translation and speech recognition.  ...  TFIDF and Text Rank algorithms to summarize the Marathi document. In extractive technique, the process has two steps first is Pre-processing step and second is Processing step.  ... 
doi:10.5120/ijca2021921471 fatcat:p63sipiilbgrvbk7ocbx57dfpi

Text Mining in Big Data Analytics

Hossein Hassani, Christina Beneki, Stephan Unger, Maedeh Taj Mazinani, Mohammad Reza Yeganegi
2020 Big Data and Cognitive Computing  
transcripts and speeches, meeting transcripts, and academic journal articles, as well as websites, emails, blogs, and social media platforms, across a broad range of application areas are also investigated  ...  Text mining in big data analytics is emerging as a powerful tool for harnessing the power of unstructured textual data by analyzing it to extract new knowledge and to identify significant patterns and  ...  Arguments Extraction As another application, text mining is used to extract facts and arguments, specifically from political speeches and documents.  ... 
doi:10.3390/bdcc4010001 fatcat:6fvmne7f2fbovjp4na5hl2tmv4

Framework for Participative and Collaborative Governance using Social Media Mining Techniques

Nazura Javed, Muralidhara B.L.
2015 International Journal of Computer Applications  
This paper, proposes a framework which focuses on the application of text mining techniques on social media content for achieving participative, collaborative and inclusive governance.  ...  Applying Natural Language Processing (NLP) and mining techniques like Part-of-Speech (POS) tagging, classification, clustering to this generated corpus enables categorizing and summarizing: a) sentiments  ...  The objective of the proposed framework is to extract, categorize and summarize the social media content.  ... 
doi:10.5120/ijca2015905435 fatcat:v5j2ljoxszbo7peli5pzv5yckq

Intelligent Framework for Long-text Political Speeches Summarization and Visualization Using Sentiment Lexicons: A Study Directed at King Abdullah II Discussion Papers

Zaher Salah
2020 International Journal of Advanced Trends in Computer Science and Engineering  
In this paper the authors seek to propose a mechanism for conducting text summarization and visualisation with respect to long-text political speeches so as to simply their outcomes.  ...  The resulted text visualizations indicate that the attitude of each speech can be effectively predicted and summarized using sentiment analysis and text visualization techniques.  ...  INTRODUCTION Text Summarization and Visualization is an approach to convert text to simplified images that make long-texts simpler to understand and to save time for researchers to search for specific  ... 
doi:10.30534/ijatcse/2020/225922020 fatcat:6xmkd2oeqfgnhp22wkdmfxxduy

Weighted Summarization of Student Feedback using Sentiment Analysis

Sneha Sneha, B. Akshatha Bhat, Preetham Kumar
2014 International Journal of Computer Applications  
The spell-checker helps to rectify the incorrect words for proper implementation of those two concepts. General Terms: Edit-distance algorithm, SentiWordNet  ...  This is where the summarization feature comes into picture. It extracts important information found in every feedback document.  ...  One of the approaches to text summarization is weighted summarization that comes under extraction based summarization.  ... 
doi:10.5120/16984-7087 fatcat:w4eak6tikvdabpakhktje4byqq

LiaaS: Lawful Interception as a Service

Mehrnoosh Monshizadeh, Vikramajeet Khatri, Mohammadali Varfan, Raimo Kantola
2018 2018 26th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)  
The proposed platform also extracts the minutes of conversation and the most important information from the media (audio or video) so any desired detail can be searched from it.  ...  While new identity methods are used to monitor suspected end users, the major challenge is the amount of data that needs to be monitored to find the traffic of interest related to the specific targets.  ...  These algorithms can find the important information and concepts of a text (conversation) and they can also be implemented to summarize multiple texts.  ... 
doi:10.23919/softcom.2018.8555753 dblp:conf/softcom/MonshizadehKVK18 fatcat:i7kodgkvzbgjfgwdo5fhdyq7sq

Hybrid Algorithm to Generate Summary of Documents by Extracting Keywords

Devanshi Parikh, Surbhi Patel, Dr. Hiren Joshi, Rollwala Computer Center, Gujarat University, Ahmedabad, India
2020 International Journal of Engineering Research and  
Since text summarization process is highly depend on keyword extraction, the overall results are found promising.  ...  Using such techniques the novel approach strengthens its process and finds hybrid approach to perform the summarization of document along with the keywords identified by the type of document using text  ...  In the extractive summarization, the summarizer takes input as text file and tokenization of an input text is done in-order to remove find the terms of the text.  ... 
doi:10.17577/ijertv9is040484 fatcat:7j5os5gbpjd3hj7udil2m67fde
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